Attacks in Adversarial Machine Learning: A Systematic Survey from the
Life-cycle Perspective

Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective

19 February 2023

Papers citing "Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective"

18 / 18 papers shown

Title
PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models Hongwei Yao Jian Lou Zhan Qin SILM AAML 49 16 0 19 Oct 2023
Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks Ziqiang Li Pengfei Xia Hong Sun Yueqi Zeng Wei Zhang Bin Li AAML 29 7 0 15 Oct 2023
Poisoning Language Models During Instruction Tuning Alexander Wan Eric Wallace Sheng Shen Dan Klein SILM 88 124 0 01 May 2023
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Zhenting Wang Juan Zhai Shiqing Ma AAML 84 78 0 26 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 92 21 0 24 May 2022
Robust Physical-World Attacks on Face Recognition Xin-Yang Zheng Yanbo Fan Baoyuan Wu Yong Zhang Jue Wang Shirui Pan AAML CVBM 21 29 0 20 Sep 2021
Meta Gradient Adversarial Attack Zheng Yuan Jie M. Zhang Yunpei Jia Chuanqi Tan Tao Xue Shiguang Shan AAML 27 63 0 09 Aug 2021
Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting Xiangyu Qi Jifeng Zhu Chulin Xie Yong-Liang Yang AAML 21 26 0 15 Jul 2021
Manipulating SGD with Data Ordering Attacks Ilia Shumailov Zakhar Shumaylov Dmitry Kazhdan Yiren Zhao Nicolas Papernot Murat A. Erdogdu Ross J. Anderson AAML 101 78 0 19 Apr 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 43 146 0 31 Jan 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 201 554 0 19 Oct 2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles Ranjie Duan Xingjun Ma Yisen Wang James Bailey •. A. K. Qin Yun Yang AAML 140 196 0 08 Mar 2020
Clean-Label Backdoor Attacks on Video Recognition Models Shihao Zhao Xingjun Ma Xiang Zheng James Bailey Jingjing Chen Yu-Gang Jiang AAML 160 252 0 06 Mar 2020
Universal Physical Camouflage Attacks on Object Detectors Lifeng Huang Chengying Gao Yuyin Zhou Cihang Xie Alan Yuille C. Zou Ning Liu AAML 119 137 0 10 Sep 2019
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 166 878 0 29 Nov 2018
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 160 276 0 21 May 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 124 388 0 16 Apr 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 243 5,361 0 08 Jul 2016