Adversarial Attacks and Defences: A Survey

28 September 2018

Papers citing "Adversarial Attacks and Defences: A Survey"

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Title
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 126 12 0 21 Jun 2023
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations Y. Fu Ye Yuan Souvik Kundu Shang Wu Shunyao Zhang Yingyan Lin AAML 124 6 0 10 Jun 2023
Divide and Repair: Using Options to Improve Performance of Imitation Learning Against Adversarial Demonstrations P. Dasgupta AAML 18 0 0 07 Jun 2023
The Chai Platform's AI Safety Framework Xiaoding Lu Aleksey Korshuk Z. Liu W. Beauchamp 64 2 0 05 Jun 2023
Enhance Diffusion to Improve Robust Generalization Jianhui Sun Sanchit Sinha Aidong Zhang 69 4 0 05 Jun 2023
Adversarial Attack On Yolov5 For Traffic And Road Sign Detection Sanyam Jain AAML 90 0 0 27 May 2023
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making Xuanjie Fang Sijie Cheng Yang Liu Wen Wang AAML 63 9 0 27 May 2023
A Tale of Two Approximations: Tightening Over-Approximation for DNN Robustness Verification via Under-Approximation Zhiyi Xue Si Liu Zhaodi Zhang Yiting Wu Hao Fei AAML 47 2 0 26 May 2023
Fantastic DNN Classifiers and How to Identify them without Data Nathaniel R. Dean D. Sarkar 58 1 0 24 May 2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness Zhenlan Ji Pingchuan Ma Shuai Wang Yanhui Li FaML 107 8 0 22 May 2023
UP5: Unbiased Foundation Model for Fairness-aware Recommendation Wenyue Hua Yingqiang Ge Shuyuan Xu Jianchao Ji Yongfeng Zhang 106 52 0 20 May 2023
ChatGPT-Like Large-Scale Foundation Models for Prognostics and Health Management: A Survey and Roadmaps Yanfang Li Huan Wang Muxia Sun LM&MA AI4TS AI4CE 99 56 0 10 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 127 14 0 10 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation Lei Yuan F. Chen Zhongzhan Zhang Yang Yu AAML 97 10 0 09 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 80 13 0 03 May 2023
Adversary Aware Continual Learning Muhammad Umer R. Polikar AAML 64 3 0 27 Apr 2023
Expand-and-Cluster: Parameter Recovery of Neural Networks Flavio Martinelli Berfin Simsek W. Gerstner Johanni Brea 144 8 0 25 Apr 2023
Security and Privacy Issues for Urban Smart Traffic Infrastructure Anubhab Baksi A. I. S. Khalil Anupam Chattopadhyay 70 0 0 17 Apr 2023
To be Robust and to be Fair: Aligning Fairness with Robustness Junyi Chai Xiaoqian Wang 89 2 0 31 Mar 2023
Fooling the Image Dehazing Models by First Order Gradient Jie Gui Xiaofeng Cong Chengwei Peng Yuan Yan Tang James T. Kwok AAML 47 9 0 30 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 96 11 0 17 Mar 2023
DeeBBAA: A benchmark Deep Black Box Adversarial Attack against Cyber-Physical Power Systems A. Bhattacharjee T. K. Saha Ashu Verma Sukumar Mishra AAML 8 3 0 16 Mar 2023
Adversarial Attacks on Machine Learning in Embedded and IoT Platforms Christian Westbrook S. Pasricha AAML 65 3 0 03 Mar 2023
Enhancing Vulnerability Prioritization: Data-Driven Exploit Predictions with Community-Driven Insights Jay Jacobs Sasha Romanosky Octavian Suciuo Benjamin Edwards Armin Sarabi 46 22 0 27 Feb 2023
GLOW: Global Layout Aware Attacks on Object Detection Buyu Liu BaoJun Jianping Fan Xi Peng Kui Ren Jun Yu AAML 41 0 0 27 Feb 2023
Chaotic Variational Auto encoder-based Adversarial Machine Learning Pavan Venkata Sainadh Reddy Yelleti Vivek Gopi Pranay V. Ravi DRL AAML 71 1 0 25 Feb 2023
Shortcut Detection with Variational Autoencoders Nicolas Müller Simon Roschmann Shahbaz Khan Philip Sperl Konstantin Böttinger AAML DRL 65 2 0 08 Feb 2023
Efficient XAI Techniques: A Taxonomic Survey Yu-Neng Chuang Guanchu Wang Fan Yang Zirui Liu Xuanting Cai Mengnan Du Helen Zhou 74 34 0 07 Feb 2023
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 53 2 0 01 Feb 2023
Identifying Adversarially Attackable and Robust Samples Vyas Raina Mark Gales AAML 79 3 0 30 Jan 2023
Uncovering Adversarial Risks of Test-Time Adaptation Tong Wu Feiran Jia Xiangyu Qi Jiachen T. Wang Vikash Sehwag Saeed Mahloujifar Prateek Mittal AAML TTA 116 9 0 29 Jan 2023
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning Sagar Sharma Yuechun Gu Keke Chen 60 0 0 31 Dec 2022
GAN-based Domain Inference Attack Yuechun Gu Keke Chen 48 11 0 22 Dec 2022
DISCO: Adversarial Defense with Local Implicit Functions Chih-Hui Ho Nuno Vasconcelos AAML 128 39 0 11 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 103 19 0 05 Dec 2022
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack Yunfeng Diao He Wang Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg Meng Wang AAML 71 7 0 21 Nov 2022
DualApp: Tight Over-Approximation for Neural Network Robustness Verification via Under-Approximation Yiting Wu Zhaodi Zhang Zhiyi Xue Si Liu Hao Fei AAML 51 0 0 21 Nov 2022
PrivacyProber: Assessment and Detection of Soft-Biometric Privacy-Enhancing Techniques Peter Rot Peter Peer Vitomir vStruc PICV 38 12 0 16 Nov 2022
Robust DNN Surrogate Models with Uncertainty Quantification via Adversarial Training Lixiang Zhang Jia Li AAML 74 0 0 10 Nov 2022
Visually Adversarial Attacks and Defenses in the Physical World: A Survey Xingxing Wei Bangzheng Pu Jiefan Lu Baoyuan Wu AAML 135 11 0 03 Nov 2022
Ares: A System-Oriented Wargame Framework for Adversarial ML Farhan Ahmed Pratik Vaishnavi Kevin Eykholt Amir Rahmati AAML 70 7 0 24 Oct 2022
Scaling Laws for Reward Model Overoptimization Leo Gao John Schulman Jacob Hilton ALM 128 569 0 19 Oct 2022
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods Evan Crothers Nathalie Japkowicz H. Viktor DeLMO 142 113 0 13 Oct 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 48 50 0 12 Oct 2022
On Optimal Learning Under Targeted Data Poisoning Steve Hanneke Amin Karbasi Mohammad Mahmoody Idan Mehalel Shay Moran AAML FedML 54 8 0 06 Oct 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 88 4 0 26 Sep 2022
PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models William Hackett Stefan Trawicki Zhengxin Yu N. Suri Peter Garraghan MIACV AAML 37 3 0 13 Sep 2022
Data Provenance via Differential Auditing Xin Mu Ming Pang Feida Zhu 36 1 0 04 Sep 2022
Affective Manifolds: Modeling Machine's Mind to Like, Dislike, Enjoy, Suffer, Worry, Fear, and Feel Like A Human Benyamin Ghojogh 41 1 0 29 Aug 2022
DF-Captcha: A Deepfake Captcha for Preventing Fake Calls Yisroel Mirsky 50 2 0 17 Aug 2022