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1<!DOCTYPE html> <html lang="en"> <head> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <title>Nils Philipp Walter</title> <meta name="author" content="Nils Philipp Walter"> <meta name="description" content="A simple, whitespace theme for academics. Based on [*folio](https://github.com/bogoli/-folio) design. "> <meta name="keywords" content="jekyll, jekyll-theme, academic-website, portfolio-website"> <link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha256-DF7Zhf293AJxJNTmh5zhoYYIMs2oXitRfBjY+9L//AY=" crossorigin="anonymous"> <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/css/mdb.min.css" integrity="sha256-jpjYvU3G3N6nrrBwXJoVEYI/0zw8htfFnhT9ljN3JJw=" crossorigin="anonymous"> <link defer rel="stylesheet" href="https://unpkg.com/[email protected]/dist/bootstrap-table.min.css"> <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/[email protected]/css/all.min.css" integrity="sha256-HtsXJanqjKTc8vVQjO4YMhiqFoXkfBsjBWcX91T1jr8=" crossorigin="anonymous"> <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/css/academicons.min.css" integrity="sha256-i1+4qU2G2860dGGIOJscdC30s9beBXjFfzjWLjBRsBg=" crossorigin="anonymous"> <link rel="stylesheet" type="text/css" href="https://fonts.googleapis.com/css?family=Roboto:300,400,500,700|Roboto+Slab:100,300,400,500,700|Material+Icons"> <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/jwarby/jekyll-pygments-themes@master/github.css" media="" id="highlight_theme_light"> <link rel="shortcut icon" href="/assets/img/favicon.png"> <link rel="stylesheet" href="/assets/css/main.css"> <link rel="canonical" href="/"> <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/jwarby/jekyll-pygments-themes@master/dark.css" media="none" id="highlight_theme_dark"> 
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1 </head> <body class="fixed-top-nav sticky-bottom-footer"> <header> <nav id="navbar" class="navbar navbar-light navbar-expand-sm fixed-top"> <div class="container"> <div class="navbar-brand social"> <a href="mailto:%6E%69%6C%73.%77%61%6C%74%65%72@%63%69%73%70%61.%64%65" title="email"> <i class="fas fa-envelope"></i></a> <a href="https://scholar.google.com/citations?user=uMpszvoAAAAJ" title="Google Scholar" rel="external nofollow noopener" target="_blank"><i class="ai ai-google-scholar"></i></a> <a href="https://github.com/nilspwalter" title="GitHub" rel="external nofollow noopener" target="_blank"><i class="fab fa-github"></i></a> <a href="https://www.linkedin.com/in/nils-philipp-walter-381615319" title="LinkedIn" rel="external nofollow noopener" target="_blank"><i class="fab fa-linkedin"></i></a> <a href="https://twitter.com/nilspwalter" title="Twitter" rel="external nofollow noopener" target="_blank"><i class="fab fa-twitter"></i></a> </div> <button class="navbar-toggler collapsed ml-auto" type="button" data-toggle="collapse" data-target="#navbarNav" aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation"> <span class="sr-only">Toggle navigation</span> <span class="icon-bar top-bar"></span> <span class="icon-bar middle-bar"></span> <span class="icon-bar bottom-bar"></span> </button> <div class="collapse navbar-collapse text-right" id="navbarNav"> <ul class="navbar-nav ml-auto flex-nowrap"> <li class="nav-item active"> <a class="nav-link" href="/">About<span class="sr-only">(current)</span></a> </li> <li class="nav-item "> <a class="nav-link" href="/publications/">Publications</a> </li> <li class="nav-item "> <a class="nav-link" href="/assets/pdf/resume.pdf">cv</a> </li> <li class="toggle-container"> <button id="light-toggle" title="Change theme"> <i class="fas fa-moon"></i> <i class="fas fa-sun"></i> </button> </li> </ul> </div> </div> </nav> </header> <div class="container mt-5"> <div class="post"> <header class="post-header"> <h1 class="post-title"> <span>Nils</span> Philipp Walter </h1> </header> <article> <div class="profile social float-right"> <figure> <picture> <source class="responsive-img-srcset" media="(max-width: 480px)" srcset="/assets/img/prof_pic1-480.webp"></source> <source class="responsive-img-srcset" media="(max-width: 800px)" srcset="/assets/img/prof_pic1-800.webp"></source> <source class="responsive-img-srcset" media="(max-width: 1400px)" srcset="/assets/img/prof_pic1-1400.webp"></source> <img src="/assets/img/prof_pic1.jpg" class="img-fluid z-depth-1 rounded-circle" width="auto" height="auto" alt="prof_pic1.jpg" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture> </figure> </div> <div class="clearfix"> <p>I am a third year Ph.D. student at <a href="https://cispa.de/en" rel="external nofollow noopener" target="_blank"> CISPA Helmholtz Center for Information Security</a>, supervised by <a href="https://vreeken.eu/" rel="external nofollow noopener" target="_blank"> Jilles Vreeken</a>. I am broadly interested in robust and explainable machine learning for large-scale real-world applications. In my Ph.D, I intend to develop new approaches that are at the same time descriptive and predictive. That is the models not only offer predictive capabilities but also facilitate practitioners to gain deeper insights into the problems they are addressing. Currently, I mostly work on understanding how neural networks process information and building methods to describe when and how models make errors.<br></p> <p>Before joining CISPA, I was a research assistant in the goup of <a href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning/people/bernt-schiele" rel="external nofollow noopener" target="_blank"> Bernt Schiele </a> at the <a href="https://www.mpi-inf.mpg.de/de/home" rel="external nofollow noopener" target="_blank"> Max-Planck-Institut for Informatics</a>, supervised by <a href="https://davidstutz.de/" rel="external nofollow noopener" target="_blank"> David Stutz </a>. My research focused on adversarial and out-of-distribution robustness of Quantized Neural Networks. I also worked on the influence of Batch Normalization on the vulnerability and generalization capabilities of neural networks.</p> </div> <h2><a href="/news/" style="color: inherit;">news</a></h2> <div class="news"> <div class="table-responsive" style="max-height: 60vw"> <table class="table table-sm table-borderless"> <tr> <th scope="row">Jan '26</th> <td> Our paper <a href="https://openreview.net/forum?id=sptCQnKS9X" rel="external nofollow noopener" target="_blank"> When Flatness Does (Not) Guarantee Adversarial Robustness</a><a> got accepted to ICLR 26!</a> </td> </tr> <tr> <th scope="row">Oct '25</th> <td> Our work on learning Rule list classifiers in a fully differentiable manner has been accepted at <a href="https://openreview.net/pdf?id=oBf5eZSeBT" rel="external nofollow noopener" target="_blank"> NeurIps</a><a> 2025. 🎉</a> </td> </tr> <tr> <th scope="row">Sep '25</th> <td> I started my research intership at Stanford University together with <a href="https://cs.stanford.edu/people/jure/" rel="external nofollow noopener" target="_blank"> Jure Leskovec</a><a>.</a> </td> </tr> <tr> <th scope="row">Apr '25</th> <td> I was invited to give a talk at the <a href="https://www.ikim.uk-essen.de/" rel="external nofollow noopener" target="_blank"> Institute for Artificial Intelligence in Medicine</a><a> in Essen. The slides are available </a><a href="assets/pdf/talk_essen.pdf"> here</a><a>.</a> </td> </tr> <tr> <th scope="row">Mar '25</th> <td> Preprint of our paper <a href="https://nilspwalter.github.io/var-page/" rel="external nofollow noopener" target="_blank"> Now you see me! A framework for obtaining class-relevant saliency maps</a><a> is available on arXiv.</a> </td> </tr> <tr> <th scope="row">Nov '24</th> <td> I was invited to give a talk at the <a href="https://sites.google.com/view/efficientml" rel="external nofollow noopener" target="_blank"> Efficient Machine Learning Reading Group</a><a>. The slides are available </a><a href="assets/pdf/uncanny-presentation.pdf"> here</a><a> <br> and a recording can be found on </a><a href="https://www.youtube.com/watch?v=1ClKbsWCrzE" rel="external nofollow noopener" target="_blank"> YouTube</a><a>
1 .</a> </td> </tr> <tr> <th scope="row">Nov '24</th> <td> A new preprint of our work on learning rule list classifiers in a fully differentiable manner is available on <a href="https://arxiv.org/pdf/2411.06428" rel="external nofollow noopener" target="_blank"> arXiv</a><a>.</a> </td> </tr> <tr> <th scope="row">Sep '24</th> <td> I gave a talk at the <a href="https://gutenberg-workshops.uni-mainz.de/ai-for-scientific-discovery/" rel="external nofollow noopener" target="_blank"> Gutenberg Workshop</a><a> on AI for Scientific Discovery. The slides are available </a><a href="assets/pdf/Gutenberg.pdf"> here</a><a>.</a> </td> </tr> <tr> <th scope="row">Jun '24</th> <td> Happy to announce that our paper <a href="https://openreview.net/forum?id=AG45XqwPKU" rel="external nofollow noopener" target="_blank"> Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence</a><a> received <br>a spotlight at ICML 24! 🎉</a> </td> </tr> <tr> <th scope="row">May '24</th> <td> Preprint of our paper <a href="https://arxiv.org/abs/2405.16918" rel="external nofollow noopener" target="_blank"> The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective</a><a> is available on arXiv.</a> </td> </tr> </table> </div> </div> <h2><a href="/publications/" style="color: inherit;">publications</a></h2> <div class="publications"> <h2 class="bibliography">2026</h2> <ol class="bibliography"><li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">ICLR</abbr></div> <div id="walter2026when" class="col-sm-8"> <div class="title">When Flatness Does (Not) Guarantee Adversarial Robustness</div> <div class="author"> Nils Philipp Walter, Linara Adilova, Jilles Vreeken, and Michael Kamp</div> <div class="periodical"> In<em> The Fourteenth International Conference on Learning Representations</em>, 2026 </div> <div class="periodical"> </div> <div class="links"> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="/assets/pdf/uncanny_iclr.pdf" class="btn btn-sm z-depth-0" role="button">PDF</a> </div> <div class="badges"> <span class="altmetric-embed" data-hide-no-mentions="true" data-hide-less-than="15" data-badge-type="2" data-badge-popover="right"></span> <span class="__dimensions_badge_embed__" data-pmid="" data-hide-zero-citations="true" data-style="small_rectangle" data-legend="hover-right" style="margin-bottom: 3px;"></span> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">walter2026when</span><span class="p">,</span>
2  <span class="na">title</span> <span class="p">=</span> <span class="s">{When Flatness Does (Not) Guarantee Adversarial Robustness}</span><span class="p">,</span>
3  <span class="na">author</span> <span class="p">=</span> <span class="s">{Walter, Nils Philipp and Adilova, Linara and Vreeken, Jilles and Kamp, Michael}</span><span class="p">,</span>
4  <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{The Fourteenth International Conference on Learning Representations}</span><span class="p">,</span>
5  <span class="na">year</span> <span class="p">=</span> <span class="s">{2026}</span><span class="p">,</span>
6  <span class="na">organization</span> <span class="p">=</span> <span class="s">{ICLR}</span><span class="p">,</span>
7<span class="p">}</span></code></pre></figure> </div> </div> </div> </li></ol> <h2 class="bibliography">2025</h2> <ol class="bibliography"> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">NeurIPS</abbr></div> <div id="walter2025neurules" class="col-sm-8"> <div class="title">Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go</div> <div class="author"> Sascha Xu, Nils Philipp Walter, and Jilles Vreeken</div> <div class="periodical"> In<em> The Thirty-ninth Annual Conference on Neural Information Processing Systems</em>, 2025 </div> <div class="periodical"> </div> <div class="links"> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="/assets/pdf/neurules.pdf" class="btn btn-sm z-depth-0" role="button">PDF</a> </div> <div class="badges"> <span class="altmetric-embed" data-hide-no-mentions="true" data-hide-less-than="15" data-badge-type="2" data-badge-popover="right"></span> <span class="__dimensions_badge_embed__" data-pmid="" data-hide-zero-citations="true" data-style="small_rectangle" data-legend="hover-right" style="margin-bottom: 3px;"></span> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">walter2025neurules</span><span class="p">,</span>
8  <span class="na">title</span> <span class="p">=</span> <span class="s">{Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go}</span><span class="p">,</span>
9  <span class="na">author</span> <span class="p">=</span> <span class="s">{Xu, Sascha and Walter, Nils Philipp and Vreeken, Jilles}</span><span class="p">,</span>
10  <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{The Thirty-ninth Annual Conference on Neural Information Processing Systems}</span><span class="p">,</span>
11  <span class="na">year</span> <span class="p">=</span> <span class="s">{2025}</span><span class="p">,</span>
12  <span class="na">organization</span> <span class="p">=</span> <span class="s">{NeurIPS}</span><span class="p">,</span>
13<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">arXiv</abbr></div> <div id="walter2025soft" class="col-sm-8"> <div class="title">Soft Instruction De-escalation Defense</div> <div class="author"> Nils Philipp Walter, Chawin Sitawarin, Jamie Hayes, David Stutz, and <span class="more-authors" title="click to view 1 more author" onclick=" var element=$(this); element.attr('title', ''); var more_authors_text=element.text() == '1 more author' ? 'Ilia Shumailov' : '1 more author'; var cursorPosition=0; var textAdder=setInterval(function(){ element.text(more_authors_text.substring(0, cursorPosition + 1)); if (++cursorPosition == more_authors_text.length){ clearInterval(textAdder); } }, '10'); ">1 more author</span> </div> <div class="periodical"> <em>arXiv preprint arXiv:2510.21057</em>, 2025 </div> <div class="periodical"> </div> <div class="links"> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://arxiv.org/pdf/2510.21057" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">HTML</a> <a href="/assets/pdf/arxiv_sic.pdf" class="btn btn-sm z-depth-0" role="button">PDF</a> </div> <div class="badges"> <span class="altmetric-embed" data-hide-no-mentions="true" data-hide-less-than="15" data-badge-type="2" data-badge-popover="right"></span> <span class="__dimensions_badge_embed__" data-pmid="" data-hide-zero-citations="true" data-style="small_rectangle" data-legend="hover-right" style="margin-bottom: 3px;"></span> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">walter2025soft</span><span class="p">,</span>
14  <span class="na">title</span> <span class="p">=</span> <span class="s">{Soft Instruction De-escalation Defense}</span><span class="p">,</span>
15  <span class="na">author</span> <span class="p">=</span> <span class="s">{Walter, Nils Philipp and Sitawarin, Chawin and Hayes, Jamie and Stutz, David and Shumailov, Ilia}</span><span class="p">,</span>
16  <span class="na">
16journal</span> <span class="p">=</span> <span class="s">{arXiv preprint arXiv:2510.21057}</span><span class="p">,</span>
17  <span class="na">year</span> <span class="p">=</span> <span class="s">{2025}</span><span class="p">,</span>
18  <span class="na">organization</span> <span class="p">=</span> <span class="s">{arXiv}</span><span class="p">,</span>
19<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">arXiv</abbr></div> <div id="walter2025var" class="col-sm-8"> <div class="title">Hidden in Plain Sight – Class Competition Focuses Attribution Maps</div> <div class="author"> Nils Philipp Walter, Jilles Vreeken, and Jonas Fischer</div> <div class="periodical"> <em>arXiv preprint arXiv:2503.07346</em>, 2025 </div> <div class="periodical"> </div> <div class="links"> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://arxiv.org/abs/2503.07346" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">HTML</a> <a href="/assets/pdf/Var.pdf" class="btn btn-sm z-depth-0" role="button">PDF</a> </div> <div class="badges"> <span class="altmetric-embed" data-hide-no-mentions="true" data-hide-less-than="15" data-badge-type="2" data-badge-popover="right"></span> <span class="__dimensions_badge_embed__" data-pmid="" data-hide-zero-citations="true" data-style="small_rectangle" data-legend="hover-right" style="margin-bottom: 3px;"></span> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">walter2025var</span><span class="p">,</span>
20  <span class="na">title</span> <span class="p">=</span> <span class="s">{Hidden in Plain Sight – Class Competition Focuses Attribution Maps}</span><span class="p">,</span>
21  <span class="na">author</span> <span class="p">=</span> <span class="s">{Walter, Nils Philipp and Vreeken, Jilles and Fischer, Jonas}</span><span class="p">,</span>
22  <span class="na">journal</span> <span class="p">=</span> <span class="s">{arXiv preprint arXiv:2503.07346}</span><span class="p">,</span>
23  <span class="na">year</span> <span class="p">=</span> <span class="s">{2025}</span><span class="p">,</span>
24  <span class="na">organization</span> <span class="p">=</span> <span class="s">{arXiv}</span><span class="p">,</span>
25<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> </ol> <h2 class="bibliography">2024</h2> <ol class="bibliography"> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">arXiv</abbr></div> <div id="walter2024uncanny" class="col-sm-8"> <div class="title">The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective</div> <div class="author"> Nils Philipp Walter, Linara Adilova, Jilles Vreeken, and Michael Kamp</div> <div class="periodical"> <em>arXiv preprint arXiv:2405.16918</em>, 2024 </div> <div class="periodical"> </div> <div class="links"> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://arxiv.org/abs/2405.16918" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">HTML</a> <a href="/assets/pdf/uncanny-valley.pdf" class="btn btn-sm z-depth-0" role="button">PDF</a> </div> <div class="badges"> <span class="altmetric-embed" data-hide-no-mentions="true" data-hide-less-than="15" data-badge-type="2" data-badge-popover="right"></span> <span class="__dimensions_badge_embed__" data-pmid="" data-hide-zero-citations="true" data-style="small_rectangle" data-legend="hover-right" style="margin-bottom: 3px;"></span> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">walter2024uncanny</span><span class="p">,</span>
26  <span class="na">title</span> <span class="p">=</span> <span class="s">{The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective}</span><span class="p">,</span>
27  <span class="na">author</span> <span class="p">=</span> <span class="s">{Walter, Nils Philipp and Adilova, Linara and Vreeken, Jilles and Kamp, Michael}</span><span class="p">,</span>
28  <span class="na">
28journal</span> <span class="p">=</span> <span class="s">{arXiv preprint  arXiv:2405.16918}</span><span class="p">,</span>
29  <span class="na">year</span> <span class="p">=</span> <span class="s">{2024}</span><span class="p">,</span>
30  <span class="na">organization</span> <span class="p">=</span> <span class="s">{arXiv}</span><span class="p">,</span>
31<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">ICML</abbr></div> <div id="xu2024learningicml" class="col-sm-8"> <div class="title">Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence</div> <div class="author"> Sascha Xu, Nils Philipp Walter, Janis Kalofolias, and Jilles Vreeken</div> <div class="periodical"> In<em> Proceedings of the International Conference on Machine Learning (ICML)</em>, 2024 </div> <div class="periodical"> </div> <div class="links"> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="/assets/pdf/syflow.pdf" class="btn btn-sm z-depth-0" role="button">PDF</a> </div> <div class="badges"> <span class="altmetric-embed" data-hide-no-mentions="true" data-hide-less-than="15" data-badge-type="2" data-badge-popover="right"></span> <span class="__dimensions_badge_embed__" data-pmid="" data-hide-zero-citations="true" data-style="small_rectangle" data-legend="hover-right" style="margin-bottom: 3px;"></span> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">xu2024learningicml</span><span class="p">,</span>
32  <span class="na">title</span> <span class="p">=</span> <span class="s">{Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence}</span><span class="p">,</span>
33  <span class="na">author</span> <span class="p">=</span> <span class="s">{Xu, Sascha and Walter, Nils Philipp and Kalofolias, Janis and Vreeken, Jilles}</span><span class="p">,</span>
34  <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Proceedings of the International Conference on Machine Learning (ICML)}</span><span class="p">,</span>
35  <span class="na">year</span> <span class="p">=</span> <span class="s">{2024}</span><span class="p">,</span>
36  <span class="na">organization</span> <span class="p">=</span> <span class="s">{PMLR}</span><span class="p">,</span>
37<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">AAAI</abbr></div> <div id="walter2024finding" class="col-sm-8"> <div class="title">Finding Interpretable Class-Specific Patterns through Efficient Neural Search</div> <div class="author"> Nils Philipp Walter, Jonas Fischer, and Jilles Vreeken</div> <div class="periodical"> In<em> Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence</em>, 2024 </div> <div class="periodical"> </div> <div class="links"> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://eda.rg.cispa.io/prj/diffnaps/" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">HTML</a> <a href="/assets/pdf/diffnaps.pdf" class="btn btn-sm z-depth-0" role="button">PDF</a> </div> <div class="badges"> <span class="altmetric-embed" data-hide-no-mentions="true" data-hide-less-than="15" data-badge-type="2" data-badge-popover="right"></span> <span class="__dimensions_badge_embed__" data-pmid="" data-hide-zero-citations="true" data-style="small_rectangle" data-legend="hover-right" style="margin-bottom: 3px;"></span> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">walter2024finding</span><span class="p">,</span>
38  <span class="na">title</span> <span class="p">=</span> <span class="s">{Finding Interpretable Class-Specific Patterns through Efficient Neural Search}</span><span class="p">,</span>
39  <span class="na">author</span> <span class="p">=</span> <span class="s">{Walter, Nils Philipp and Fischer, Jonas and Vreeken, Jilles}</span><span class="p">,</span>
40  <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence}</span><span class="p">,</span>
41  <span class="na">year</span> <span class="p">=</span> <span class="s">{2024}</span><span class="p">,</span>
42  <span class="na">organization</span> <span class="p">=</span> <span class="s">{AAAI}</span><span class="p">,</span>
43<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> </ol> <h2 class="bibliography">2022</h2> <ol class="bibliography"><li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">CVPR</abbr></div> <div id="walter2022fragile" class="col-sm-8"> <div class="title">On Fragile Features and Batch Normalization in Adversarial Training</
43div> <div class="author"> Nils Philipp Walter, David Stutz, and Bernt Schiele</div> <div class="periodical"> <em>arXiv preprint arXiv:2204.12393</em>, 2022 </div> <div class="periodical"> </div> <div class="links"> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://arxiv.org/abs/2204.12393" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">HTML</a> <a href="/assets/pdf/fragilefeatures.pdf" class="btn btn-sm z-depth-0" role="button">PDF</a> </div> <div class="badges"> <span class="altmetric-embed" data-hide-no-mentions="true" data-hide-less-than="15" data-badge-type="2" data-badge-popover="right"></span> <span class="__dimensions_badge_embed__" data-pmid="" data-hide-zero-citations="true" data-style="small_rectangle" data-legend="hover-right" style="margin-bottom: 3px;"></span> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">walter2022fragile</span><span class="p">,</span>
44  <span class="na">title</span> <span class="p">=</span> <span class="s">{On Fragile Features and Batch Normalization in Adversarial Training}</span><span class="p">,</span>
45  <span class="na">author</span> <span class="p">=</span> <span class="s">{Walter, Nils Philipp and Stutz, David and Schiele, Bernt}</span><span class="p">,</span>
46  <span class="na">journal</span> <span class="p">=</span> <span class="s">{arXiv preprint arXiv:2204.12393}</span><span class="p">,</span>
47  <span class="na">year</span> <span class="p">=</span> <span class="s">{2022}</span><span class="p">,</span>
48<span class="p">}</span></code></pre></figure> </div> </div> </div> </li></ol> </div> </article> </div> </div> <footer class="sticky-bottom mt-5"> <div class="container"> © Copyright 2026 Nils Philipp Walter. Powered by <a href="https://jekyllrb.com/" target="_blank" rel="external nofollow noopener">Jekyll</a> with <a href="https://github.com/alshedivat/al-folio" rel="external nofollow noopener" target="_blank">al-folio</a> theme. Hosted by <a href="https://pages.github.com/" target="_blank" rel="external nofollow noopener">GitHub Pages</a>. <a href="impressum">Impressum</a>. </div> </footer> 
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Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.