Ensemble Adversarial Training: Attacks and Defenses

19 May 2017

Dan Boneh

Papers citing "Ensemble Adversarial Training: Attacks and Defenses"

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Title
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation Sebastian-Vasile Echim Iulian-Marius Taiatu Dumitru-Clementin Cercel Florin-Catalin Pop 26 1 0 30 Dec 2023
Attack Tree Analysis for Adversarial Evasion Attacks Yuki Yamaguchi Toshiaki Aoki AAML 26 0 0 28 Dec 2023
Adversarial Attacks on Image Classification Models: Analysis and Defense Jaydip Sen Abhiraj Sen Ananda Chatterjee AAML 44 4 0 28 Dec 2023
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience Janvi Thakkar Giulio Zizzo S. Maffeis AAML 27 1 0 21 Dec 2023
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples Ruichu Cai Yuxuan Zhu Jie Qiao Zefeng Liang Furui Liu Zhifeng Hao CML 26 5 0 21 Dec 2023
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks Peng Zhao Jiehua Zhang Bowen Peng Longguang Wang Yingmei Wei Yu Liu Li Liu AAML 29 0 0 21 Dec 2023
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate Tao Wu Tie Luo D. C. Wunsch 41 4 0 20 Dec 2023
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations Zebin Yun Achi-Or Weingarten Eyal Ronen Mahmood Sharif 25 2 0 18 Dec 2023
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 64 3 0 15 Dec 2023
Defenses in Adversarial Machine Learning: A Survey Baoyuan Wu Shaokui Wei Mingli Zhu Meixi Zheng Zihao Zhu Ruotong Wang Hongrui Chen Danni Yuan Li Liu Qingshan Liu AAML 30 14 0 13 Dec 2023
DTA: Distribution Transform-based Attack for Query-Limited Scenario Renyang Liu Wei Zhou Xin Jin Song Gao Yuanyu Wang Ruxin Wang 18 0 0 12 Dec 2023
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training Qian Li Yuxiao Hu Yinpeng Dong Dong-juan Zhang Yuntian Chen AAML 37 3 0 12 Dec 2023
Towards Transferable Adversarial Attacks with Centralized Perturbation Shangbo Wu Yu-an Tan Yajie Wang Ruinan Ma Wencong Ma Yuan-zhang Li AAML 20 9 0 11 Dec 2023
A Red Teaming Framework for Securing AI in Maritime Autonomous Systems Mathew J. Walter Aaron Barrett Kimberly Tam 22 5 0 08 Dec 2023
A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System Xinwei Yuan Shu Han Wei Huang Hongliang Ye Xianglong Kong Fan Zhang AAML 28 21 0 06 Dec 2023
Generating Visually Realistic Adversarial Patch Xiaosen Wang Kunyu Wang AAML 26 0 0 05 Dec 2023
Adversarial Medical Image with Hierarchical Feature Hiding Qingsong Yao Zecheng He Yuexiang Li Yi Lin Kai Ma Yefeng Zheng S. Kevin Zhou MedIm AAML 36 4 0 04 Dec 2023
Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training Saurabh Farkya Aswin Raghavan Avi Ziskind 14 0 0 30 Nov 2023
Rethinking Mixup for Improving the Adversarial Transferability Xiaosen Wang Zeyuan Yin AAML 30 2 0 28 Nov 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 27 2 0 26 Nov 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 66 3 0 20 Nov 2023
Improving Adversarial Transferability by Stable Diffusion Jiayang Liu Siyu Zhu Siyuan Liang Jie Zhang Han Fang Weiming Zhang Ee-Chien Chang AAML DiffM 26 11 0 18 Nov 2023
Towards Robust and Accurate Visual Prompting Qi Li Liangzhi Li Zhouqiang Jiang Bowen Wang VPVLM VLM 32 3 0 18 Nov 2023
Adversarially Robust Spiking Neural Networks Through Conversion Ozan Özdenizci Robert Legenstein AAML 38 8 0 15 Nov 2023
Alignment is not sufficient to prevent large language models from generating harmful information: A psychoanalytic perspective Zi Yin Wei Ding Jia Liu 27 1 0 14 Nov 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning Shashank Kotyan Danilo Vasconcellos Vargas AAML 17 0 0 14 Nov 2023
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning Siming Lan Rui Zhang Qi Yi Jiaming Guo Shaohui Peng ... Zidong Du Xingui Hu Xishan Zhang Ling Li Yunji Chen 24 8 0 02 Nov 2023
LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations Kunyu Wang Juluan Shi Wenxuan Wang AAML 32 6 0 31 Oct 2023
Exploring Geometry of Blind Spots in Vision Models S. Balasubramanian Gaurang Sriramanan Vinu Sankar Sadasivan S. Feizi AAML 20 2 0 30 Oct 2023
Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods Mahdi Salmani Alireza Dehghanpour Farashah Mohammad Azizmalayeri Mahdi Amiri Navid Eslami M. T. Manzuri M. Rohban AAML 24 1 0 29 Oct 2023
Understanding and Improving Ensemble Adversarial Defense Yian Deng Tingting Mu AAML 19 19 0 27 Oct 2023
Artifact-Robust Graph-Based Learning in Digital Pathology Saba Heidari Gheshlaghi Milan Aryal Nasim Yahyasoltani Masoud Ganji OOD 27 0 0 27 Oct 2023
PubDef: Defending Against Transfer Attacks From Public Models Chawin Sitawarin Jaewon Chang David Huang Wesson Altoyan David Wagner AAML 34 5 0 26 Oct 2023
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks Xiaojun Jia Jianshu Li Jindong Gu Yang Bai Xiaochun Cao AAML 24 9 0 24 Oct 2023
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks Yue Cao Tianlin Li Xiaofeng Cao Ivor Tsang Yang Liu Qing Guo AAML 26 2 0 18 Oct 2023
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier Jerry Zhi-Yang He Zackory M. Erickson Daniel S. Brown Anca Dragan AAML 26 0 0 16 Oct 2023
DANAA: Towards transferable attacks with double adversarial neuron attribution Zhibo Jin Zhiyu Zhu Xinyi Wang Jiayu Zhang Jun Shen Huaming Chen AAML 19 9 0 16 Oct 2023
Towards Deep Learning Models Resistant to Transfer-based Adversarial Attacks via Data-centric Robust Learning Yulong Yang Chenhao Lin Xiang Ji Qiwei Tian Qian Li Hongshan Yang Zhibo Wang Chao Shen 30 7 0 15 Oct 2023
$Is Certifying $\ell_p$ Robustness Still Worthwhile?$ Is Certifying $\ell_p$ Robustness Still Worthwhile? Ravi Mangal Klas Leino Zifan Wang Kai Hu Weicheng Yu Corina S. Pasareanu Anupam Datta Matt Fredrikson AAML OOD 33 1 0 13 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization Jiancong Xiao Ruoyu Sun Zhimin Luo AAML 38 6 0 09 Oct 2023
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization Zexu Sun Bowei He Ming Ma Jiakai Tang Yuchen Wang Chen Ma Dugang Liu 26 4 0 07 Oct 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 40 1 0 06 Oct 2023
OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable Evasion Attacks Ofir Bar Tal Adi Haviv Amit H. Bermano AAML 18 0 0 05 Oct 2023
Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System Khushnaseeb Roshan Aasim Zafar Sheikh Burhan Ul Haque AAML 18 33 0 05 Oct 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 40 4 0 03 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 40 15 0 01 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 16 11 0 29 Sep 2023
Structure Invariant Transformation for better Adversarial Transferability Xiaosen Wang Zeliang Zhang Jianping Zhang AAML 24 59 0 26 Sep 2023
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations Hanjiang Hu Zuxin Liu Linyi Li Jiacheng Zhu Ding Zhao 30 0 0 22 Sep 2023
PRAT: PRofiling Adversarial aTtacks Rahul Ambati Naveed Akhtar Ajmal Mian Yogesh S Rawat AAML 26 1 0 20 Sep 2023