On Adaptive Attacks to Adversarial Example Defenses

19 February 2020

Wieland Brendel

Papers citing "On Adaptive Attacks to Adversarial Example Defenses"

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Title
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei Ke Ma Yingfei Sun Qianqian Xu Q. Huang DiffM 38 0 0 02 May 2025
Adversarial Examples in Environment Perception for Automated Driving (Review) Jun Yan Huilin Yin AAML 34 0 0 11 Apr 2025
Are Deep Speech Denoising Models Robust to Adversarial Noise? Will Schwarzer Philip S. Thomas Andrea Fanelli Xiaoyu Liu 52 0 0 14 Mar 2025
LLM-Safety Evaluations Lack Robustness Tim Beyer Sophie Xhonneux Simon Geisler Gauthier Gidel Leo Schwinn Stephan Günnemann ALM ELM 121 0 0 04 Mar 2025
AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses Nicholas Carlini Javier Rando Edoardo Debenedetti Milad Nasr F. Tramèr AAML ELM 39 1 0 03 Mar 2025
REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective Simon Geisler Tom Wollschlager M. H. I. Abdalla Vincent Cohen-Addad Johannes Gasteiger Stephan Günnemann AAML 86 2 0 24 Feb 2025
MACPruning: Dynamic Operation Pruning to Mitigate Side-Channel DNN Model Extraction Ruyi Ding Cheng Gongye Davis Ranney A. A. Ding Yunsi Fei AAML 58 0 0 24 Feb 2025
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks Yue Gao Ilia Shumailov Kassem Fawaz AAML 121 0 0 21 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 60 0 0 20 Feb 2025
Artificial Kuramoto Oscillatory Neurons Takeru Miyato Sindy Lowe Andreas Geiger Max Welling AI4CE 67 6 0 17 Feb 2025
Adversarial ML Problems Are Getting Harder to Solve and to Evaluate Javier Rando Jie Zhang Nicholas Carlini F. Tramèr AAML ELM 54 3 0 04 Feb 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 54 2 0 28 Jan 2025
Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution Norrathep Rattanavipanon Ivan de Oliviera Nunes 78 0 0 28 Jan 2025
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling Kaiyuan Zhang Siyuan Cheng Guangyu Shen Bruno Ribeiro Shengwei An Pin-Yu Chen X. Zhang Ninghui Li 90 0 0 28 Jan 2025
HumorReject: Decoupling LLM Safety from Refusal Prefix via A Little Humor Zihui Wu Haichang Gao Jiacheng Luo Zhaoxiang Liu 35 0 0 23 Jan 2025
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics Taowen Wang Dongfang Liu James Liang Wenhao Yang Qifan Wang Cheng Han Jiebo Luo Ruixiang Tang Ruixiang Tang AAML 74 2 0 18 Nov 2024
New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes Y. Wang Li Liu Zi Liang Qingqing Ye Haibo Hu AAML 18 0 0 16 Oct 2024
Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks Kevin Eykholt Farhan Ahmed Pratik Vaishnavi Amir Rahmati AAML 26 0 0 15 Oct 2024
Gradient-based Jailbreak Images for Multimodal Fusion Models Javier Rando Hannah Korevaar Erik Brinkman Ivan Evtimov Florian Tramèr AAML 29 3 0 04 Oct 2024
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects Sabrine Ennaji Fabio De Gaspari Dorjan Hitaj Alicia Kbidi Luigi V. Mancini AAML 24 0 0 27 Sep 2024
Perturb, Attend, Detect and Localize (PADL): Robust Proactive Image Defense Filippo Bartolucci I. Masi G. Lisanti AAML 19 1 0 26 Sep 2024
An Adversarial Perspective on Machine Unlearning for AI Safety Jakub Łucki Boyi Wei Yangsibo Huang Peter Henderson F. Tramèr Javier Rando MU AAML 71 31 0 26 Sep 2024
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification Geigh Zollicoffer Minh Vu Ben Nebgen Juan Castorena Boian S. Alexandrov Manish Bhattarai 27 2 0 12 Sep 2024
Input Space Mode Connectivity in Deep Neural Networks Jakub Vrabel Ori Shem-Ur Yaron Oz David Krueger 40 1 0 09 Sep 2024
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG Manshan Guo Bhavin Choksi Sari Saba-Sadiya A. T. Gifford Martina G. Vilas Radoslaw Martin Cichy Gemma Roig AAML 28 0 0 05 Sep 2024
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models Hossein Khalili Seongbin Park Vincent Li Brandan Bright Ali Payani Ramana Rao Kompella Nader Sehatbakhsh AAML 26 1 0 31 Aug 2024
Analyzing Inference Privacy Risks Through Gradients in Machine Learning Zhuohang Li Andrew Lowy Jing Liu T. Koike-Akino K. Parsons Bradley Malin Ye Wang FedML 23 1 0 29 Aug 2024
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases Thibault Simonetto Salah Ghamizi Maxime Cordy AAML OOD ELM 35 0 0 14 Aug 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information Mingkun Zhang Jianing Li Wei Chen Jiafeng Guo Xueqi Cheng 34 6 0 12 Aug 2024
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack Kuo Gai Sicong Wang Shihua Zhang AAML 19 0 0 01 Aug 2024
ADBM: Adversarial diffusion bridge model for reliable adversarial purification Xiao-Li Li Wenxuan Sun Huanran Chen Qiongxiu Li Yining Liu Yingzhe He Jie Shi Xiaolin Hu AAML 48 7 0 01 Aug 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 30 1 0 26 Jul 2024
Revisiting the Robust Alignment of Circuit Breakers Leo Schwinn Simon Geisler AAML 32 4 0 22 Jul 2024
Towards Robust Vision Transformer via Masked Adaptive Ensemble Fudong Lin Jiadong Lou Xu Yuan Nianfeng Tzeng ViT AAML 18 1 0 22 Jul 2024
Relaxing Graph Transformers for Adversarial Attacks Philipp Foth Lukas Gosch Simon Geisler Leo Schwinn Stephan Günnemann AAML 37 1 0 16 Jul 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition Xiao-Li Li Yining Liu Na Dong Sitian Qin Xiaolin Hu 34 3 0 15 Jul 2024
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks Raffaele Mura Giuseppe Floris Luca Scionis Giorgio Piras Maura Pintor Ambra Demontis Giorgio Giacinto Battista Biggio Fabio Roli AAML 34 0 0 11 Jul 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 73 1 0 21 Jun 2024
AgentDojo: A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents Edoardo Debenedetti Jie Zhang Mislav Balunović Luca Beurer-Kellner Marc Fischer Florian Tramèr LLMAG AAML 43 25 1 19 Jun 2024
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI Robert Honig Javier Rando Nicholas Carlini Florian Tramèr WIGM AAML 41 14 0 17 Jun 2024
Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples Saiyue Lyu Shadab Shaikh Frederick Shpilevskiy Evan Shelhamer Mathias Lécuyer AAML 30 0 0 14 Jun 2024
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis Zhang Chen Luca Demetrio Srishti Gupta Xiaoyi Feng Zhaoqiang Xia ... Maura Pintor Luca Oneto Ambra Demontis Battista Biggio Fabio Roli AAML 26 1 0 14 Jun 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint Jiacong Hu Jingwen Ye Zunlei Feng Jiazhen Yang Shunyu Liu Xiaotian Yu Lingxiang Jia Mingli Song AAML 23 2 0 13 Jun 2024
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition Edoardo Debenedetti Javier Rando Daniel Paleka Silaghi Fineas Florin Dragos Albastroiu ... Stefan Kraft Mario Fritz Florian Tramèr Sahar Abdelnabi Lea Schonherr 46 9 0 12 Jun 2024
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations Sravanti Addepalli Priyam Dey R. Venkatesh Babu 24 0 0 09 Jun 2024
CTBENCH: A Library and Benchmark for Certified Training Yuhao Mao Stefan Balauca Martin Vechev OOD 34 4 0 07 Jun 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data Thibault Simonetto Salah Ghamizi Maxime Cordy AAML OOD 33 2 0 02 Jun 2024
Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks Chen Xiong Xiangyu Qi Pin-Yu Chen Tsung-Yi Ho AAML 32 18 0 30 May 2024
BAN: Detecting Backdoors Activated by Adversarial Neuron Noise Xiaoyun Xu Zhuoran Liu Stefanos Koffas Shujian Yu S. Picek AAML 18 1 0 30 May 2024
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation Maya Anderson Guy Amit Abigail Goldsteen AAML 37 13 0 30 May 2024