On Adaptive Attacks to Adversarial Example Defenses

19 February 2020

Wieland Brendel

Papers citing "On Adaptive Attacks to Adversarial Example Defenses"

50 / 540 papers shown

Title
Attacking Perceptual Similarity Metrics Abhijay Ghildyal Feng Liu AAML 15 8 0 15 May 2023
Understanding Noise-Augmented Training for Randomized Smoothing Ambar Pal Jeremias Sulam AAML 13 7 0 08 May 2023
TAPS: Connecting Certified and Adversarial Training Yuhao Mao Mark Niklas Muller Marc Fischer Martin Vechev AAML 11 10 0 08 May 2023
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization Z. Yin Shaowei Zhu Han Su Jianteng Peng Wanli Lyu Bin Luo AAML 16 2 0 08 May 2023
Madvex: Instrumentation-based Adversarial Attacks on Machine Learning Malware Detection Yang Cai Felix Mächtle C. Daskalakis Volodymyr Bezsmertnyi T. Eisenbarth AAML 15 7 0 04 May 2023
New Adversarial Image Detection Based on Sentiment Analysis Yulong Wang Tianxiang Li Shenghong Li Xinnan Yuan W. Ni AAML 15 9 0 03 May 2023
Stratified Adversarial Robustness with Rejection Jiefeng Chen Jayaram Raghuram Jihye Choi Xi Wu Yingyu Liang S. Jha 12 2 0 02 May 2023
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 61 21 0 01 May 2023
RNN-Guard: Certified Robustness Against Multi-frame Attacks for Recurrent Neural Networks Yunruo Zhang Tianyu Du S. Ji Peng Tang Shanqing Guo AAML 15 2 0 17 Apr 2023
Exploring the Connection between Robust and Generative Models Senad Beadini I. Masi AAML 9 1 0 08 Apr 2023
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack Dashan Gao Yunce Zhao Yinghua Yao Zeqi Zhang Bifei Mao Xin Yao AAML 21 0 0 08 Apr 2023
Does Prompt-Tuning Language Model Ensure Privacy? Shangyu Xie Wei Dai Esha Ghosh Sambuddha Roy Dan Schwartz Kim Laine SILM 43 4 0 07 Apr 2023
Fooling the Image Dehazing Models by First Order Gradient Jie Gui Xiaofeng Cong Chengwei Peng Yuan Yan Tang James T. Kwok AAML 11 8 0 30 Mar 2023
Provable Robustness for Streaming Models with a Sliding Window Aounon Kumar Vinu Sankar Sadasivan S. Feizi OOD AAML AI4TS 11 1 0 28 Mar 2023
EMShepherd: Detecting Adversarial Samples via Side-channel Leakage Ruyi Ding Gongye Cheng Siyue Wang A. A. Ding Yunsi Fei AAML 13 6 0 27 Mar 2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications Junhao Dong Junxi Chen Xiaohua Xie Jianhuang Lai H. Chen AAML MedIm 15 16 0 24 Mar 2023
Feature Separation and Recalibration for Adversarial Robustness Woo Jae Kim Y. Cho Junsik Jung Sung-eui Yoon AAML 36 18 0 24 Mar 2023
Use Perturbations when Learning from Explanations Juyeon Heo Vihari Piratla Matthew Wicker Adrian Weller AAML 14 1 0 11 Mar 2023
Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks Ryan Feng Ashish Hooda Neal Mangaokar Kassem Fawaz S. Jha Atul Prakash AAML 60 11 0 11 Mar 2023
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models Hassan Ali M. A. Butt F. Filali Ala I. Al-Fuqaha Junaid Qadir AAML 9 2 0 05 Mar 2023
Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output Codes Thomas Philippon Christian Gagné AAML 14 0 0 04 Mar 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance Amine Bennouna Ryan Lucas Bart P. G. Van Parys 22 10 0 03 Mar 2023
Defending against Adversarial Audio via Diffusion Model Shutong Wu Jiong Wang Wei Ping Weili Nie Chaowei Xiao DiffM 19 24 0 02 Mar 2023
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases Chong Fu Xuhong Zhang S. Ji Ting Wang Peng Lin Yanghe Feng Jianwei Yin AAML 22 10 0 28 Feb 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang X. Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 15 72 0 28 Feb 2023
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators Keane Lucas Matthew Jagielski Florian Tramèr Lujo Bauer Nicholas Carlini AAML 12 9 0 27 Feb 2023
Less is More: Data Pruning for Faster Adversarial Training Yize Li Pu Zhao X. Lin B. Kailkhura Ryan Goldh AAML 10 9 0 23 Feb 2023
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 22 7 0 21 Feb 2023
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects Linyi Li Yuhao Zhang Luyao Ren Yingfei Xiong Tao Xie 17 7 0 13 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min-Bin Lin Weiwei Liu Shuicheng Yan DiffM 14 207 0 09 Feb 2023
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection Federica Granese Marco Romanelli S. Garg Pablo Piantanida AAML 19 0 0 04 Feb 2023
On the Robustness of Randomized Ensembles to Adversarial Perturbations Hassan Dbouk Naresh R Shanbhag AAML 6 7 0 02 Feb 2023
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression Zhuoran Liu Zhengyu Zhao Martha Larson 10 32 0 31 Jan 2023
Are Defenses for Graph Neural Networks Robust? Felix Mujkanovic Simon Geisler Stephan Günnemann Aleksandar Bojchevski OOD AAML 19 56 0 31 Jan 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion Zhuoqun Huang Neil G. Marchant Keane Lucas Lujo Bauer O. Ohrimenko Benjamin I. P. Rubinstein AAML 15 14 0 31 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 19 18 0 29 Jan 2023
Selecting Models based on the Risk of Damage Caused by Adversarial Attacks Jona Klemenc Holger Trittenbach AAML 19 1 0 28 Jan 2023
Guidance Through Surrogate: Towards a Generic Diagnostic Attack Muzammal Naseer Salman Khan Fatih Porikli F. Khan AAML 12 1 0 30 Dec 2022
Confidence-aware Training of Smoothed Classifiers for Certified Robustness Jongheon Jeong Seojin Kim Jinwoo Shin AAML 14 7 0 18 Dec 2022
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks Nikolaos Antoniou Efthymios Georgiou Alexandros Potamianos AAML 22 5 0 15 Dec 2022
Generative Robust Classification Xuwang Yin TPM 17 0 0 14 Dec 2022
Carpet-bombing patch: attacking a deep network without usual requirements Pol Labarbarie Adrien Chan-Hon-Tong Stéphane Herbin Milad Leyli-Abadi AAML 8 1 0 12 Dec 2022
DISCO: Adversarial Defense with Local Implicit Functions Chih-Hui Ho Nuno Vasconcelos AAML 21 38 0 11 Dec 2022
$Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance$ Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$ -norms For Better Adversarial Performance Ngoc N. Tran Anh Tuan Bui Dinh Q. Phung Trung Le AAML 10 1 0 05 Dec 2022
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks Xiao-Li Li Ziqi Wang Bo-Wen Zhang Fuchun Sun Xiaolin Hu 16 25 0 04 Dec 2022
Adversarial Rademacher Complexity of Deep Neural Networks Jiancong Xiao Yanbo Fan Ruoyu Sun Zhimin Luo AAML 15 22 0 27 Nov 2022
Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning Ethan Rathbun Kaleel Mahmood Sohaib Ahmad Caiwen Ding Marten van Dijk AAML 6 4 0 26 Nov 2022
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack Yunfeng Diao He-Nan Wang Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg Meng Wang AAML 27 6 0 21 Nov 2022
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 23 10 0 19 Nov 2022
Adversarial Detection by Approximation of Ensemble Boundary T. Windeatt AAML 24 0 0 18 Nov 2022