Adversarial Attacks and Defences: A Survey

28 September 2018

Papers citing "Adversarial Attacks and Defences: A Survey"

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Title
Adversarial Coevolutionary Illumination with Generational Adversarial MAP-Elites Timothée Anne Noah Syrkis Meriem Elhosni Florian Turati Franck Legendre Alain Jaquier Sebastian Risi 26 0 0 10 May 2025
XBreaking: Explainable Artificial Intelligence for Jailbreaking LLMs Marco Arazzi Vignesh Kumar Kembu Antonino Nocera V. P. 82 0 0 30 Apr 2025
Valkyrie: A Response Framework to Augment Runtime Detection of Time-Progressive Attacks Nikhilesh Singh Chester Rebeiro 43 0 0 21 Apr 2025
Deep Learning-based Intrusion Detection Systems: A Survey Zhiwei Xu Yujuan Wu Shiheng Wang Jiabao Gao Tian Qiu Ziqi Wang Hai Wan Xibin Zhao 26 1 0 10 Apr 2025
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis Li Yang Mirna El Rajab Abdallah Shami Sami Muhaidat 85 6 0 28 Feb 2025
Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Jialin Wu Kaikai Pan Yanjiao Chen Jiangyi Deng Shengyuan Pang Wenyuan Xu ViT AAML 43 0 0 13 Jan 2025
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su Yushu Li Nanqing Liu Kui Jia Xulei Yang Chuan-Sheng Foo Xun Xu TTA AAML 56 0 0 07 Oct 2024
A Cost-Aware Approach to Adversarial Robustness in Neural Networks Charles Meyers Mohammad Reza Saleh Sedghpour Tommy Löfstedt Erik Elmroth OOD AAML 33 0 0 11 Sep 2024
Explainable Graph Neural Networks Under Fire Zhong Li Simon Geisler Yuhang Wang Stephan Günnemann M. Leeuwen AAML 43 0 0 10 Jun 2024
DREW : Towards Robust Data Provenance by Leveraging Error-Controlled Watermarking Mehrdad Saberi Vinu Sankar Sadasivan Arman Zarei Hessam Mahdavifar S. Feizi 43 1 0 05 Jun 2024
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks Nicholas H. Barbara Ruigang Wang I. Manchester 45 4 0 19 May 2024
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods Roopkatha Dey Aivy Debnath Sayak Kumar Dutta Kaustav Ghosh Arijit Mitra Arghya Roy Chowdhury Jaydip Sen AAML SILM 29 1 0 08 Apr 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 35 28 0 20 Mar 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance Yifei Shen Xinyang Jiang Yezhen Wang Yifan Yang Dongqi Han Dongsheng Li FaML 29 6 0 19 Mar 2024
A Language Model's Guide Through Latent Space Dimitri von Rutte Sotiris Anagnostidis Gregor Bachmann Thomas Hofmann 45 24 0 22 Feb 2024
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models Erik Arakelyan Zhaoqi Liu Isabelle Augenstein AAML 45 10 0 25 Jan 2024
SENet: Visual Detection of Online Social Engineering Attack Campaigns Irfan Ozen Karthika Subramani Phani Vadrevu R. Perdisci 44 2 0 10 Jan 2024
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
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 68 3 0 20 Nov 2023
A Framework for Monitoring and Retraining Language Models in Real-World Applications Jaykumar Kasundra Claudia Schulz Melicaalsadat Mirsafian Stavroula Skylaki OffRL LRM 34 1 0 16 Nov 2023
Revealing CNN Architectures via Side-Channel Analysis in Dataflow-based Inference Accelerators Hansika Weerasena Prabhat Mishra FedML 51 4 0 01 Nov 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 43 3 0 20 Oct 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 34 3 0 20 Aug 2023
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks Shijie Liu Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein AAML 26 3 0 15 Aug 2023
Jailbroken: How Does LLM Safety Training Fail? Alexander Wei Nika Haghtalab Jacob Steinhardt 110 852 0 05 Jul 2023
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 23 11 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 68 6 0 10 Jun 2023
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making Xuanjie Fang Sijie Cheng Yang Liu Wen Wang AAML 36 9 0 27 May 2023
Fantastic DNN Classifiers and How to Identify them without Data Nathaniel R. Dean D. Sarkar 23 1 0 24 May 2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness Zhenlan Ji Pingchuan Ma Shuai Wang Yanhui Li FaML 34 7 0 22 May 2023
Security and Privacy Issues for Urban Smart Traffic Infrastructure Anubhab Baksi A. I. S. Khalil Anupam Chattopadhyay 21 0 0 17 Apr 2023
To be Robust and to be Fair: Aligning Fairness with Robustness Junyi Chai Xiaoqian Wang 52 2 0 31 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 32 8 0 17 Mar 2023
Adversarial Attacks on Machine Learning in Embedded and IoT Platforms Christian Westbrook S. Pasricha AAML 25 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 16 17 0 27 Feb 2023
Identifying Adversarially Attackable and Robust Samples Vyas Raina Mark J. F. Gales AAML 33 3 0 30 Jan 2023
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning Sagar Sharma Yuechun Gu Keke Chen 31 0 0 31 Dec 2022
GAN-based Domain Inference Attack Yuechun Gu Keke Chen 15 11 0 22 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 24 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 40 7 0 21 Nov 2022
Scaling Laws for Reward Model Overoptimization Leo Gao John Schulman Jacob Hilton ALM 41 481 0 19 Oct 2022
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods Evan Crothers Nathalie Japkowicz H. Viktor DeLMO 50 107 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 28 47 0 12 Oct 2022
On Optimal Learning Under Targeted Data Poisoning Steve Hanneke Amin Karbasi Mohammad Mahmoody Idan Mehalel Shay Moran AAML FedML 36 7 0 06 Oct 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 25 4 0 26 Sep 2022
Data Provenance via Differential Auditing Xin Mu Ming Pang Feida Zhu 13 1 0 04 Sep 2022
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks Bernd Prach Christoph H. Lampert 32 35 0 05 Aug 2022
Invariant Feature Learning for Generalized Long-Tailed Classification Kaihua Tang Mingyuan Tao Jiaxin Qi Zhenguang Liu Hanwang Zhang VLM 32 52 0 19 Jul 2022
Distance Learner: Incorporating Manifold Prior to Model Training Aditya Chetan Nipun Kwatra 21 1 0 14 Jul 2022
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems I. Aliyu Sélinde Van Engelenburg Muhammed Muazu Jinsul Kim C. Lim AAML 38 14 0 11 Jul 2022