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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Towards more Practical Threat Models in Artificial Intelligence Security Kathrin Grosse L. Bieringer Tarek R. Besold Alexandre Alahi 16 9 0 16 Nov 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning Shashank Kotyan Danilo Vasconcellos Vargas AAML 11 0 0 14 Nov 2023
Adversarial Attacks and Defenses in Large Language Models: Old and New Threats Leo Schwinn David Dobre Stephan Günnemann Gauthier Gidel AAML ELM 11 37 0 30 Oct 2023
Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow Erik Scheurer Jenny Schmalfuss Alexander Lis Andrés Bruhn AAML 16 5 0 26 Oct 2023
Multi-scale Diffusion Denoised Smoothing Jongheon Jeong Jinwoo Shin DiffM 14 8 0 25 Oct 2023
Toward Stronger Textual Attack Detectors Pierre Colombo Marine Picot Nathan Noiry Guillaume Staerman Pablo Piantanida 28 5 0 21 Oct 2023
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks Yue Cao Tianlin Li Xiaofeng Cao Ivor Tsang Yang Liu Qing-Wu Guo AAML 16 2 0 18 Oct 2023
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks Erfan Shayegani Md Abdullah Al Mamun Yu Fu Pedram Zaree Yue Dong Nael B. Abu-Ghazaleh AAML 147 144 0 16 Oct 2023
Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE Marius Arvinte Cory Cornelius Jason Martin N. Himayat DiffM 37 3 0 10 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization Jiancong Xiao Ruoyu Sun Zhimin Luo AAML 23 6 0 09 Oct 2023
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Alexander Robey Eric Wong Hamed Hassani George J. Pappas AAML 38 216 0 05 Oct 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 21 4 0 03 Oct 2023
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples Jia-Yu Yao Kun-Peng Ning Zhen-Hui Liu Munan Ning Li Yuan HILM LRM AAML 15 168 0 02 Oct 2023
Projected Randomized Smoothing for Certified Adversarial Robustness Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi AAML 11 16 0 25 Sep 2023
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations Hanjiang Hu Zuxin Liu Linyi Li Jiacheng Zhu Ding Zhao 23 0 0 22 Sep 2023
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations Salah Ghamizi Maxime Cordy Yuejun Guo Mike Papadakis And Yves Le Traon 8 1 0 11 Sep 2023
Certifying LLM Safety against Adversarial Prompting Aounon Kumar Chirag Agarwal Suraj Srinivas Aaron Jiaxun Li S. Feizi Himabindu Lakkaraju AAML 22 161 0 06 Sep 2023
Hindering Adversarial Attacks with Multiple Encrypted Patch Embeddings AprilPyone Maungmaung Isao Echizen Hitoshi Kiya AAML 11 2 0 04 Sep 2023
Towards Certified Probabilistic Robustness with High Accuracy Ruihan Zhang Peixin Zhang Jun Sun AAML 17 0 0 02 Sep 2023
Baseline Defenses for Adversarial Attacks Against Aligned Language Models Neel Jain Avi Schwarzschild Yuxin Wen Gowthami Somepalli John Kirchenbauer Ping Yeh-Chiang Micah Goldblum Aniruddha Saha Jonas Geiping Tom Goldstein AAML 13 335 0 01 Sep 2023
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models Takami Sato Justin Yue Nanze Chen Ningfei Wang Qi Alfred Chen DiffM 11 2 0 30 Aug 2023
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks Arezoo Rajabi Surudhi Asokraj Feng-Shr Jiang Luyao Niu Bhaskar Ramasubramanian J. Ritcey Radha Poovendran AAML 11 1 0 30 Aug 2023
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks Blerta Lindqvist AAML 25 0 0 10 Aug 2023
A reading survey on adversarial machine learning: Adversarial attacks and their understanding Shashank Kotyan AAML 17 5 0 07 Aug 2023
AdvFAS: A robust face anti-spoofing framework against adversarial examples Jiawei Chen X. Yang Heng Yin Mingzhi Ma Bihui Chen Jianteng Peng Yandong Guo Z. Yin Han Su AAML CVBM 6 6 0 04 Aug 2023
A LLM Assisted Exploitation of AI-Guardian Nicholas Carlini ELM SILM 16 14 0 20 Jul 2023
Adversarial attacks for mixtures of classifiers Lucas Gnecco-Heredia Benjamin Négrevergne Y. Chevaleyre AAML 20 1 0 20 Jul 2023
Multi-objective Evolutionary Search of Variable-length Composite Semantic Perturbations Jialiang Sun Wen Yao Tingsong Jiang Xiaoqian Chen AAML 18 0 0 13 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 19 7 0 01 Jul 2023
Beyond Neural-on-Neural Approaches to Speaker Gender Protection L. V. Bemmel Zhuoran Liu Nik Vaessen Martha Larson AAML 15 2 0 30 Jun 2023
Post-train Black-box Defense via Bayesian Boundary Correction He-Nan Wang Yunfeng Diao AAML 31 1 0 29 Jun 2023
Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation Shiji Zhao Xizhe Wang Xingxing Wei AAML 35 8 0 28 Jun 2023
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning Hong Joo Lee Yonghyun Ro AAML 6 3 0 27 Jun 2023
Are aligned neural networks adversarially aligned? Nicholas Carlini Milad Nasr Christopher A. Choquette-Choo Matthew Jagielski Irena Gao ... Pang Wei Koh Daphne Ippolito Katherine Lee Florian Tramèr Ludwig Schmidt AAML 22 221 0 26 Jun 2023
Computational Asymmetries in Robust Classification Samuele Marro M. Lombardi AAML 13 0 0 25 Jun 2023
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models Francesco Croce Naman D. Singh Matthias Hein VLM 19 7 0 22 Jun 2023
Understanding Certified Training with Interval Bound Propagation Yuhao Mao Mark Niklas Muller Marc Fischer Martin Vechev AAML 41 14 0 17 Jun 2023
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing Sravanti Addepalli Samyak Jain Gaurang Sriramanan R. Venkatesh Babu AAML 17 6 0 10 Jun 2023
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions Ezgi Korkmaz Jonah Brown-Cohen AAML 6 9 0 09 Jun 2023
Ownership Protection of Generative Adversarial Networks Hailong Hu Jun Pang AAML 6 1 0 08 Jun 2023
Don't trust your eyes: on the (un)reliability of feature visualizations Robert Geirhos Roland S. Zimmermann Blair Bilodeau Wieland Brendel Been Kim FAtt OOD 18 25 0 07 Jun 2023
Exploring Model Dynamics for Accumulative Poisoning Discovery Jianing Zhu Xiawei Guo Jiangchao Yao Chao Du Li He Shuo Yuan Tongliang Liu Liang Wang Bo Han AAML 11 0 0 06 Jun 2023
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters Xingxing Wei Shiji Zhao Bo li AAML 34 4 0 06 Jun 2023
Evading Black-box Classifiers Without Breaking Eggs Edoardo Debenedetti Nicholas Carlini Florian Tramèr MLAU AAML 21 7 0 05 Jun 2023
Two Heads are Better than One: Towards Better Adversarial Robustness by Combining Transduction and Rejection Nils Palumbo Yang Guo Xi Wu Jiefeng Chen Yingyu Liang S. Jha AAML 15 0 0 27 May 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors Xiao-Li Li Hang Chen Xiaolin Hu AAML 34 4 0 27 May 2023
Robust Classification via a Single Diffusion Model Huanran Chen Yinpeng Dong Zhengyi Wang X. Yang Chen-Dong Duan Hang Su Jun Zhu 74 56 0 24 May 2023
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks I. Frosio Jan Kautz AAML 13 15 0 23 May 2023
Multi-Task Models Adversarial Attacks Lijun Zhang Xiao Liu Kaleel Mahmood Caiwen Ding Hui Guan AAML 11 0 0 20 May 2023
Architecture-agnostic Iterative Black-box Certified Defense against Adversarial Patches Dichao Yang Yihao Huang Qing-Wu Guo Felix Juefei Xu Ming Hu Yang Liu G. Pu AAML 16 0 0 18 May 2023