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
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 4 20 0 17 Nov 2022
MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing Attack Yunrui Yu Xitong Gao Chengzhong Xu AAML 20 8 0 15 Nov 2022
Physics-Constrained Backdoor Attacks on Power System Fault Localization Jianing Bai Ren Wang Zuyi Li AAML AI4CE 11 5 0 07 Nov 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 6 14 0 27 Oct 2022
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes Sina Baharlouei Fatemeh Sheikholeslami Meisam Razaviyayn Zico Kolter AAML 11 5 0 26 Oct 2022
Accelerating Certified Robustness Training via Knowledge Transfer Pratik Vaishnavi Kevin Eykholt Amir Rahmati 8 7 0 25 Oct 2022
Ares: A System-Oriented Wargame Framework for Adversarial ML Farhan Ahmed Pratik Vaishnavi Kevin Eykholt Amir Rahmati AAML 10 7 0 24 Oct 2022
Exploring The Landscape of Distributional Robustness for Question Answering Models Anas Awadalla Mitchell Wortsman Gabriel Ilharco Sewon Min Ian H. Magnusson Hannaneh Hajishirzi Ludwig Schmidt ELM OOD KELM 70 19 0 22 Oct 2022
Hindering Adversarial Attacks with Implicit Neural Representations Andrei A. Rusu D. A. Calian Sven Gowal R. Hadsell AAML 125 4 0 22 Oct 2022
Certified Training: Small Boxes are All You Need Mark Niklas Muller Franziska Eckert Marc Fischer Martin Vechev AAML 18 45 0 10 Oct 2022
Symmetry Defense Against CNN Adversarial Perturbation Attacks Blerta Lindqvist AAML 25 2 0 08 Oct 2022
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems Chawin Sitawarin Florian Tramèr Nicholas Carlini AAML 70 8 0 07 Oct 2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing Hanjiang Hu Zuxin Liu Linyi Li Jiacheng Zhu Ding Zhao AAML 19 6 0 04 Oct 2022
Stability Analysis and Generalization Bounds of Adversarial Training Jiancong Xiao Yanbo Fan Ruoyu Sun Jue Wang Zhimin Luo AAML 13 30 0 03 Oct 2022
Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis Jiancong Xiao Zeyu Qin Yanbo Fan Baoyuan Wu Jue Wang Zhimin Luo AAML 20 7 0 02 Oct 2022
Understanding Adversarial Robustness Against On-manifold Adversarial Examples Jiancong Xiao Liusha Yang Yanbo Fan Jue Wang Zhimin Luo OOD 6 13 0 02 Oct 2022
Learning Robust Kernel Ensembles with Kernel Average Pooling P. Bashivan Adam Ibrahim Amirozhan Dehghani Yifei Ren OOD 16 5 0 30 Sep 2022
A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks Kevin Hector Mathieu Dumont Pierre-Alain Moëllic J. Dutertre AAML 14 4 0 28 Sep 2022
Audit and Improve Robustness of Private Neural Networks on Encrypted Data Jiaqi Xue Lei Xu Lin Chen W. Shi Kaidi Xu Qian Lou AAML 20 5 0 20 Sep 2022
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models R. Olivier H. Abdullah Bhiksha Raj AAML 19 1 0 17 Sep 2022
PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition Qidong Huang Xiaoyi Dong Dongdong Chen Hang Zhou Weiming Zhang Kui Zhang Gang Hua Nenghai Yu 3DPC 17 12 0 16 Sep 2022
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples Nuo Xu Kaleel Mahmood Haowen Fang Ethan Rathbun Caiwen Ding Wujie Wen AAML 27 12 0 07 Sep 2022
Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples Hezekiah J. Branch Jonathan Rodriguez Cefalu Jeremy McHugh Leyla Hujer Aditya Bahl Daniel del Castillo Iglesias Ron Heichman Ramesh Darwishi ELM SILM AAML 11 48 0 05 Sep 2022
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability Shahroz Tariq B. Le Simon S. Woo AAML AI4TS 14 3 0 24 Aug 2022
Transferability Ranking of Adversarial Examples Mosh Levy Guy Amit Yuval Elovici Yisroel Mirsky AAML 18 0 0 23 Aug 2022
BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning Eugene Bykovets Yannick Metz Mennatallah El-Assady Daniel A. Keim J. M. Buhmann AAML 19 0 0 22 Aug 2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition Jiachen Sun Weili Nie Zhiding Yu Z. Morley Mao Chaowei Xiao DiffM 26 25 0 21 Aug 2022
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks Husheng Han Xingui Hu Kaidi Xu Pucheng Dang Ying Wang Yongwei Zhao Zidong Du Qi Guo Yanzhi Yang Tianshi Chen AAML 22 2 0 19 Aug 2022
On the Privacy Effect of Data Enhancement via the Lens of Memorization Xiao-Li Li Qiongxiu Li Zhan Hu Xiaolin Hu 27 13 0 17 Aug 2022
A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design Jialiang Sun Wen Yao Tingsong Jiang Xiaoqian Chen AAML 12 0 0 15 Aug 2022
Attacking Adversarial Defences by Smoothing the Loss Landscape Panagiotis Eustratiadis H. Gouk Da Li Timothy M. Hospedales AAML 14 4 0 01 Aug 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 6 2 0 31 Jul 2022
Do Perceptually Aligned Gradients Imply Adversarial Robustness? Roy Ganz Bahjat Kawar Michael Elad AAML 12 8 0 22 Jul 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models Tsachi Blau Roy Ganz Bahjat Kawar Alex M. Bronstein Michael Elad AAML DiffM 16 26 0 17 Jul 2022
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Q. Ni 3DPC 17 10 0 15 Jul 2022
Sound Randomized Smoothing in Floating-Point Arithmetics Václav Voráček Matthias Hein 12 4 0 14 Jul 2022
Provably Adversarially Robust Nearest Prototype Classifiers Václav Voráček Matthias Hein AAML 15 11 0 14 Jul 2022
Adversarial Robustness Assessment of NeuroEvolution Approaches Inês Valentim Nuno Lourenço Nuno Antunes AAML 15 1 0 12 Jul 2022
Machine Learning Security in Industry: A Quantitative Survey Kathrin Grosse L. Bieringer Tarek R. Besold Battista Biggio Katharina Krombholz 27 31 0 11 Jul 2022
Dynamic Time Warping based Adversarial Framework for Time-Series Domain Taha Belkhouja Yan Yan J. Doppa AAML AI4TS 19 25 0 09 Jul 2022
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features Taha Belkhouja J. Doppa AAML AI4TS 15 11 0 09 Jul 2022
Threat Assessment in Machine Learning based Systems L. Tidjon Foutse Khomh 11 16 0 30 Jun 2022
Increasing Confidence in Adversarial Robustness Evaluations Roland S. Zimmermann Wieland Brendel Florian Tramèr Nicholas Carlini AAML 36 16 0 28 Jun 2022
Never trust, always verify : a roadmap for Trustworthy AI? L. Tidjon Foutse Khomh 31 15 0 23 Jun 2022
InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle Mengting Xu Tao Zhang Zhongnian Li Daoqiang Zhang AAML 32 16 0 23 Jun 2022
On the Limitations of Stochastic Pre-processing Defenses Yue Gao Ilia Shumailov Kassem Fawaz Nicolas Papernot AAML SILM 26 29 0 19 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses Chawin Sitawarin Zachary Golan-Strieb David A. Wagner AAML 6 20 0 18 Jun 2022
Adversarial Robustness is at Odds with Lazy Training Yunjuan Wang Enayat Ullah Poorya Mianjy R. Arora SILM AAML 19 10 0 18 Jun 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Daryna Oliynyk Rudolf Mayer Andreas Rauber 16 106 0 16 Jun 2022
Double Sampling Randomized Smoothing Linyi Li Jiawei Zhang Tao Xie Bo-wen Li AAML 6 23 0 16 Jun 2022