Adversarial Attacks and Defences: A Survey

28 September 2018

Papers citing "Adversarial Attacks and Defences: A Survey"

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Title
Position: Certified Robustness Does Not (Yet) Imply Model Security Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein 11 0 0 16 Jun 2025
Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation Stefano Longari Paolo Cerracchio Michele Carminati S. Zanero AAML 110 0 0 12 Jun 2025
Exploring Visual Prompting: Robustness Inheritance and Beyond Qi Li Liangzhi Li Zhouqiang Jiang Bowen Wang Keke Tang VPVLM VLM 16 0 0 07 Jun 2025
Joint-GCG: Unified Gradient-Based Poisoning Attacks on Retrieval-Augmented Generation Systems Haowei Wang Rupeng Zhang Junjie Wang Mingyang Li Yuekai Huang Dandan Wang Qing Wang SILM AAML 41 0 0 06 Jun 2025
Spiking Neural Network: a low power solution for physical layer authentication Jung Hoon Lee Sujith Vijayan 58 0 0 19 May 2025
Two out of Three (ToT): using self-consistency to make robust predictions Jung Hoon Lee Sujith Vijayan OOD 56 0 0 19 May 2025
BadNAVer: Exploring Jailbreak Attacks On Vision-and-Language Navigation Wenqi Lyu Zerui Li Yanyuan Qiao Qi Wu AAML 66 0 0 18 May 2025
Adversarial Coevolutionary Illumination with Generational Adversarial MAP-Elites Timothée Anne Noah Syrkis Meriem Elhosni Florian Turati Franck Legendre Alain Jaquier Sebastian Risi 57 0 0 10 May 2025
XBreaking: Explainable Artificial Intelligence for Jailbreaking LLMs Marco Arazzi Vignesh Kumar Kembu Antonino Nocera V. P. 153 0 0 30 Apr 2025
Valkyrie: A Response Framework to Augment Runtime Detection of Time-Progressive Attacks Nikhilesh Singh Chester Rebeiro 78 0 0 21 Apr 2025
Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models Chung-En Hsuan-Chih Chen Brian Jalaian Nathaniel D. Bastian AAML VLM 80 1 0 19 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 65 3 0 10 Apr 2025
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness Yusheng Zhao Junyu Luo Zhiyuan Ning Weizhi Zhang Zhiping Xiao Wei Ju Philip S. Yu Ming Zhang AuLLM 108 0 0 03 Apr 2025
State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang Zekai Sun Ling Xiong Hongbin Liang Heming Cui Yong Cui AAML 134 1 0 26 Mar 2025
Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang ... Ling Xiong Hongbin Liang Heming Cui Yong Cui Yue Gao AAML 87 2 0 26 Mar 2025
Ranking Counterfactual Explanations Suryani Lim H. Prade G. Richard CML 92 0 0 20 Mar 2025
Securing Virtual Reality Experiences: Unveiling and Tackling Cybersickness Attacks with Explainable AI Ripan Kumar Kundu Matthew Denton Genova Mongalo Prasad Calyam K. A. Hoque AAML 84 0 0 17 Mar 2025
Attacking Multimodal OS Agents with Malicious Image Patches Lukas Aichberger Alasdair Paren Y. Gal Philip Torr Adel Bibi AAML 118 5 0 13 Mar 2025
Robust Intrusion Detection System with Explainable Artificial Intelligence Betül Güvenç Paltun Ramin Fuladi Rim El Malki AAML 76 0 0 07 Mar 2025
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges Nandish Chattopadhyay Abdul Basit B. Ouni Muhammad Shafique AAML 86 0 0 01 Mar 2025
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis Li Yang Mirna El Rajab Abdallah Shami Sami Muhaidat 146 9 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 117 0 0 13 Jan 2025
Emerging Security Challenges of Large Language Models Herve Debar Sven Dietrich Pavel Laskov Emil C. Lupu Eirini Ntoutsi ELM 34 2 0 23 Dec 2024
Safety Monitoring of Machine Learning Perception Functions: a Survey Raul Sena Ferreira Joris Guérin Kevin Delmas Jérémie Guiochet H. Waeselynck 116 0 0 09 Dec 2024
Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector Youcheng Huang Fengbin Zhu Jingkun Tang Pan Zhou Wenqiang Lei Jiancheng Lv Tat-Seng Chua AAML 63 4 0 30 Oct 2024
Conflict-Aware Adversarial Training Zhiyu Xue Haohan Wang Yao Qin Ramtin Pedarsani AAML 63 0 0 21 Oct 2024
Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images Arka Daw Megan Hong-Thanh Chung Maria Mahbub Amir Sadovnik AAML 80 0 0 16 Oct 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic Jinqian Chen Jihua Zhu 135 0 0 16 Oct 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu Yifan Zhang Qiuhong Shen Xinchao Wang Shuicheng Yan 3DGS 130 2 0 10 Oct 2024
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 157 1 0 07 Oct 2024
TA3: Testing Against Adversarial Attacks on Machine Learning Models Yuanzhe Jin Min Chen 72 0 0 06 Oct 2024
A Survey on Offensive AI Within Cybersecurity Sahil Girhepuje Aviral Verma Gaurav Raina AAML 45 3 0 26 Sep 2024
Are Existing Road Design Guidelines Suitable for Autonomous Vehicles? Yang Sun Christopher M. Poskitt Jun Sun AAML 67 0 0 13 Sep 2024
High-Frequency Anti-DreamBooth: Robust Defense against Personalized Image Synthesis Takuto Onikubo Yusuke Matsui DiffM AAML 72 1 0 12 Sep 2024
A Cost-Aware Approach to Adversarial Robustness in Neural Networks Charles Meyers Mohammad Reza Saleh Sedghpour Tommy Löfstedt Erik Elmroth OOD AAML 71 0 0 11 Sep 2024
Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness Stanislav Fort Balaji Lakshminarayanan OOD AAML 66 7 0 08 Aug 2024
Fairness Definitions in Language Models Explained Thang Viet Doan Zhibo Chu Zichong Wang Wenbin Zhang ALM 95 10 0 26 Jul 2024
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective Zhaoxin Wang Handing Wang Cong Tian Yaochu Jin AAML 101 2 0 17 Jul 2024
TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing Husheng Han Xinyao Zheng Yuanbo Wen Yifan Hao Erhu Feng ... Pengwei Jin Xinkai Song Zidong Du Qi Guo Xing Hu 72 1 0 12 Jul 2024
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends Daizong Liu Mingyu Yang Xiaoye Qu Pan Zhou Yu Cheng Wei Hu ELM AAML 101 32 0 10 Jul 2024
Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples Saiyue Lyu Shadab Shaikh Frederick Shpilevskiy Evan Shelhamer Mathias Lécuyer AAML 63 0 0 14 Jun 2024
Explainable Graph Neural Networks Under Fire Zhong Li Simon Geisler Yuhang Wang Stephan Günnemann M. Leeuwen AAML 79 1 0 10 Jun 2024
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection Yinting Wu Pai Peng Bo Cai Le Li . AAML 66 0 0 06 Jun 2024
DREW : Towards Robust Data Provenance by Leveraging Error-Controlled Watermarking Mehrdad Saberi Vinu Sankar Sadasivan Arman Zarei Hessam Mahdavifar Soheil Feizi 64 1 0 05 Jun 2024
Searching for internal symbols underlying deep learning J. H. Lee Sujith Vijayan AI4CE 80 0 0 31 May 2024
Explaining Multi-modal Large Language Models by Analyzing their Vision Perception Loris Giulivi Giacomo Boracchi 59 3 0 23 May 2024
GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-Explanation Govind Ramesh Yao Dou Wei Xu PILM 111 17 0 21 May 2024
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks Nicholas H. Barbara Ruigang Wang I. Manchester 112 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 61 1 0 08 Apr 2024
Adversarial Attacks and Dimensionality in Text Classifiers Nandish Chattopadhyay Atreya Goswami Anupam Chattopadhyay SILM AAML 50 1 0 03 Apr 2024