Boosting Adversarial Attacks with Momentum

17 October 2017

Yinpeng Dong

Jun Zhu

Papers citing "Boosting Adversarial Attacks with Momentum"

41 / 41 papers shown

Title
Towards Adaptive Meta-Gradient Adversarial Examples for Visual Tracking Wei-Long Tian Peng Gao Xiao Liu Long Xu Hamido Fujita Hanan Aljuai Mao-Li Wang AAML 21 0 0 13 May 2025
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness Hefei Mei Minjing Dong Chang Xu AAML 43 0 0 16 Aug 2024
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation Sebastian-Vasile Echim Iulian-Marius Taiatu Dumitru-Clementin Cercel Florin-Catalin Pop 18 1 0 30 Dec 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition Luke E. Richards Edward Raff Cynthia Matuszek AAML 16 2 0 17 Feb 2023
Unleashing the Power of Visual Prompting At the Pixel Level Junyang Wu Xianhang Li Chen Wei Huiyu Wang Alan Yuille Yuyin Zhou Cihang Xie VPVLM VLM 19 31 0 20 Dec 2022
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization Jiafeng Wang Zhaoyu Chen Kaixun Jiang Dingkang Yang Lingyi Hong Pinxue Guo Yan Wang Wenqiang Zhang AAML 9 27 0 21 Nov 2022
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations H. Malik Shahina Kunhimon Muzammal Naseer Salman Khan F. Khan AAML 10 8 0 18 Jul 2022
A Tale of Two Models: Constructing Evasive Attacks on Edge Models Wei Hao Aahil Awatramani Jia-Bin Hu Chengzhi Mao Pin-Chun Chen Eyal Cidon Asaf Cidon Junfeng Yang AAML 8 4 0 22 Apr 2022
Improving Neural ODEs via Knowledge Distillation Haoyu Chu Shikui Wei Qiming Lu Yao-Min Zhao 17 2 0 10 Mar 2022
Mitigating Adversarial Attacks by Distributing Different Copies to Different Users Jiyi Zhang Hansheng Fang W. Tann Ke Xu Chengfang Fang E. Chang AAML 13 3 0 30 Nov 2021
Benchmarking Safety Monitors for Image Classifiers with Machine Learning Raul Sena Ferreira J. Arlat Jérémie Guiochet H. Waeselynck 30 25 0 04 Oct 2021
Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE Wenzhao Xiang Chang-rui Liu Shibao Zheng 19 2 0 25 Aug 2021
Deep adversarial attack on target detection systems Uche M. Osahor Nasser M. Nasrabadi AAML 16 9 0 12 Aug 2021
Adversarial examples attack based on random warm restart mechanism and improved Nesterov momentum Tian-zhou Li AAML 15 1 0 10 May 2021
Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness Yi Cai Xuefei Ning Huazhong Yang Yu Wang AAML 20 4 0 27 Mar 2021
Enhanced Regularizers for Attributional Robustness A. Sarkar Anirban Sarkar V. Balasubramanian 11 16 0 28 Dec 2020
FenceBox: A Platform for Defeating Adversarial Examples with Data Augmentation Techniques Han Qiu Yi Zeng Tianwei Zhang Yong-jia Jiang Meikang Qiu AAML 17 15 0 03 Dec 2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles Huanrui Yang Jingyang Zhang Hongliang Dong Nathan Inkawhich Andrew B. Gardner Andrew Touchet Wesley Wilkes Heath Berry H. Li AAML 16 106 0 30 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 25 48 0 02 Sep 2020
vWitness: Certifying Web Page Interactions with Computer Vision Shuang He Lianying Zhao David Lie 8 1 0 31 Jul 2020
A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks Yi Zeng Han Qiu G. Memmi Meikang Qiu AAML 21 49 0 30 Jul 2020
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods? Kaidi Jin Tianwei Zhang Chao Shen Yufei Chen Ming Fan Chenhao Lin Ting Liu AAML 9 14 0 26 Jun 2020
Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks Sarada Krithivasan Sanchari Sen A. Raghunathan AAML 14 1 0 14 Jun 2020
Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques Han Qiu Yi Zeng Qinkai Zheng Tianwei Zhang Meikang Qiu G. Memmi AAML 26 14 0 27 May 2020
Confusing and Detecting ML Adversarial Attacks with Injected Attractors Jiyi Zhang E. Chang H. Lee AAML 16 1 0 05 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 50 63 0 02 Mar 2020
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense Meng Jianhai Su Jason M. O'Kane Pooyan Jamshidi AAML 9 7 0 02 Jan 2020
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction Yantao Lu Yunhan Jia Jianyu Wang Bai Li Weiheng Chai Lawrence Carin Senem Velipasalar AAML 14 81 0 22 Nov 2019
Robust Attacks against Multiple Classifiers Juan C. Perdomo Yaron Singer AAML 8 10 0 06 Jun 2019
Correctness Verification of Neural Networks Yichen Yang Martin Rinard AAML 8 12 0 03 Jun 2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness Nhathai Phan Minh Nhat Vu Yang Liu R. Jin Dejing Dou Xintao Wu My T. Thai AAML 6 51 0 02 Jun 2019
Scalable Differential Privacy with Certified Robustness in Adversarial Learning Nhathai Phan My T. Thai Han Hu R. Jin Tong Sun Dejing Dou 11 14 0 23 Mar 2019
Adaptive Gradient for Adversarial Perturbations Generation Yatie Xiao Chi-Man Pun ODL 11 10 0 01 Feb 2019
HyperGAN: A Generative Model for Diverse, Performant Neural Networks Neale Ratzlaff Fuxin Li 12 63 0 30 Jan 2019
Improving Adversarial Robustness of Ensembles with Diversity Training Sanjay Kariyappa Moinuddin K. Qureshi AAML FedML 4 131 0 28 Jan 2019
Verification for Machine Learning, Autonomy, and Neural Networks Survey Weiming Xiang Patrick Musau A. Wild Diego Manzanas Lopez Nathaniel P. Hamilton Xiaodong Yang Joel A. Rosenfeld Taylor T. Johnson 8 101 0 03 Oct 2018
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks Ambra Demontis Marco Melis Maura Pintor Matthew Jagielski Battista Biggio Alina Oprea Cristina Nita-Rotaru Fabio Roli SILM AAML 11 11 0 08 Sep 2018
Sequential Attacks on Agents for Long-Term Adversarial Goals E. Tretschk Seong Joon Oh Mario Fritz OnRL 307 47 1 31 May 2018
Are Generative Classifiers More Robust to Adversarial Attacks? Yingzhen Li John Bradshaw Yash Sharma AAML 32 78 0 19 Feb 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Saeed Mian AAML 22 1,853 0 02 Jan 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,109 0 04 Nov 2016