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
Adversarial Vulnerability of Randomized Ensembles Hassan Dbouk Naresh R Shanbhag AAML 8 6 0 14 Jun 2022
Early Transferability of Adversarial Examples in Deep Neural Networks Oriel BenShmuel AAML 12 0 0 09 Jun 2022
Meet You Halfway: Explaining Deep Learning Mysteries Oriel BenShmuel AAML FedML FAtt OOD 14 0 0 09 Jun 2022
Wavelet Regularization Benefits Adversarial Training Jun Yan Huilin Yin Xiaoyang Deng Zi-qin Zhao Wancheng Ge Hao Zhang Gerhard Rigoll AAML 11 2 0 08 Jun 2022
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Feng Wang Jiashui Wang AAML 17 36 0 07 Jun 2022
Building Robust Ensembles via Margin Boosting Dinghuai Zhang Hongyang R. Zhang Aaron Courville Yoshua Bengio Pradeep Ravikumar A. Suggala AAML UQCV 27 15 0 07 Jun 2022
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis Raphael Ettedgui Alexandre Araujo Rafael Pinot Y. Chevaleyre Jamal Atif AAML 19 3 0 03 Jun 2022
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection Linhai Ma Liang Liang OOD 11 6 0 02 Jun 2022
Exact Feature Collisions in Neural Networks Utku Ozbulak Manvel Gasparyan Shodhan Rao W. D. Neve Arnout Van Messem AAML 14 1 0 31 May 2022
BagFlip: A Certified Defense against Data Poisoning Yuhao Zhang Aws Albarghouthi Loris Dántoni AAML 23 23 0 26 May 2022
On Collective Robustness of Bagging Against Data Poisoning Ruoxin Chen Zenan Li Jie Li Chentao Wu Junchi Yan 48 23 0 26 May 2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling Mitch Hill Jonathan Mitchell Chu Chen Yuan Du M. Shah Song-Chun Zhu 10 0 0 24 May 2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks Sizhe Chen Zhehao Huang Qinghua Tao Yingwen Wu Cihang Xie X. Huang AAML 106 28 0 24 May 2022
Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization Shudong Zhang Haichang Gao Tianwei Zhang Yunyi Zhou Zihui Wu AAML 16 3 0 24 May 2022
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models Shawn Shan Wen-Luan Ding Emily Wenger Haitao Zheng Ben Y. Zhao AAML 25 10 0 21 May 2022
On Trace of PGD-Like Adversarial Attacks Mo Zhou Vishal M. Patel AAML 22 4 0 19 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 195 415 0 16 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 14 7 0 05 May 2022
Backdooring Explainable Machine Learning Maximilian Noppel Lukas Peter Christian Wressnegger AAML 14 5 0 20 Apr 2022
Measuring the False Sense of Security Carlos Gomes AAML 8 0 0 10 Apr 2022
"That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks Edoardo Mosca Shreyash Agarwal Javier Rando Georg Groh AAML 17 30 0 10 Apr 2022
Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser Sonal Joshi Saurabh Kataria Yiwen Shao Piotr Żelasko Jesus Villalba Sanjeev Khudanpur Najim Dehak AAML 17 4 0 08 Apr 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang Yuguang Yao Jinghan Jia Jinfeng Yi Min-Fong Hong Shiyu Chang Sijia Liu AAML 13 33 0 27 Mar 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations Yifan Gong Yuguang Yao Yize Li Yimeng Zhang Xiaoming Liu X. Lin Sijia Liu AAML 24 20 0 26 Mar 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 22 12 0 18 Mar 2022
On the Properties of Adversarially-Trained CNNs Mattia Carletti M. Terzi Gian Antonio Susto AAML 16 1 0 17 Mar 2022
On the Convergence of Certified Robust Training with Interval Bound Propagation Yihan Wang Zhouxing Shi Quanquan Gu Cho-Jui Hsieh 12 9 0 16 Mar 2022
Towards Practical Certifiable Patch Defense with Vision Transformer Zhaoyu Chen Bo-wen Li Jianghe Xu Shuang Wu Shouhong Ding Wenqiang Zhang AAML ViT 26 66 0 16 Mar 2022
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems H. Abdullah Aditya Karlekar S. Prasad Muhammad Sajidur Rahman Logan Blue L. A. Bauer Vincent Bindschaedler Patrick Traynor AAML 13 3 0 10 Mar 2022
SoK: On the Semantic AI Security in Autonomous Driving Junjie Shen Ningfei Wang Ziwen Wan Yunpeng Luo Takami Sato ... Zhenyu Zhong Kang Li Ziming Zhao Chunming Qiao Qi Alfred Chen AAML 13 39 0 10 Mar 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack Ye Liu Yaya Cheng Lianli Gao Xianglong Liu Qilong Zhang Jingkuan Song AAML 27 56 0 10 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers He-Nan Wang Yunfeng Diao Zichang Tan G. Guo AAML 43 10 0 09 Mar 2022
aaeCAPTCHA: The Design and Implementation of Audio Adversarial CAPTCHA Md. Imran Hossen X. Hei 15 4 0 05 Mar 2022
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck Anirban Samaddar Sandeep Madireddy Prasanna Balaprakash Tapabrata Maiti Gustavo de los Campos Ian Fischer 6 1 0 04 Mar 2022
Enhancing Adversarial Robustness for Deep Metric Learning Mo Zhou Vishal M. Patel AAML 14 18 0 02 Mar 2022
Global-Local Regularization Via Distributional Robustness Hoang Phan Trung Le Trung-Nghia Phung Tu Bui Nhat Ho Dinh Q. Phung OOD 9 12 0 01 Mar 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses Francesco Croce Sven Gowal T. Brunner Evan Shelhamer Matthias Hein A. Cemgil TTA AAML 173 67 0 28 Feb 2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training Tu Bui Trung Le Quan Hung Tran He Zhao Dinh Q. Phung AAML OOD 18 42 0 27 Feb 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis Hanieh Naderi Kimia Noorbakhsh Arian Etemadi S. Kasaei AAML 11 12 0 23 Feb 2022
Privacy Leakage of Adversarial Training Models in Federated Learning Systems Jingyang Zhang Yiran Chen Hai Helen Li FedML PICV 19 15 0 21 Feb 2022
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition Chao-Han Huck Yang Zeeshan Ahmed Yile Gu Joseph Szurley Roger Ren Linda Liu A. Stolcke I. Bulyko AAML 11 3 0 17 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 29 16 0 15 Feb 2022
Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility Wai Tuck Wong Andrew Butler Ramesha Karunasena T. Nguyen Arunesh Sinha AAML 19 0 0 13 Feb 2022
On the Detection of Adaptive Adversarial Attacks in Speaker Verification Systems Zesheng Chen AAML 11 8 0 11 Feb 2022
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking Chong Xiang Alexander Valtchanov Saeed Mahloujifar Prateek Mittal AAML 6 21 0 03 Feb 2022
Boundary Defense Against Black-box Adversarial Attacks Manjushree B. Aithal Xiaohua Li AAML 15 6 0 31 Jan 2022
TPC: Transformation-Specific Smoothing for Point Cloud Models Wen-Hsuan Chu Linyi Li Bo-wen Li 3DPC 26 13 0 30 Jan 2022
The Security of Deep Learning Defences for Medical Imaging Mosh Levy Guy Amit Yuval Elovici Yisroel Mirsky AAML MedIm 33 9 0 21 Jan 2022
Towards Adversarially Robust Deep Image Denoising Hanshu Yan Jingfeng Zhang Jiashi Feng Masashi Sugiyama Vincent Y. F. Tan DiffM 15 16 0 12 Jan 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes Fangcheng Liu Chaoning Zhang Hongyang R. Zhang AAML 16 18 0 04 Jan 2022