Adversarial Attacks and Defenses in Images, Graphs and Text: A Review

17 September 2019

Papers citing "Adversarial Attacks and Defenses in Images, Graphs and Text: A Review"

50 / 58 papers shown

Title
REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLM Madhur Jindal Saurabh Deshpande AAML 43 0 0 07 May 2025
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos Songping Wang Hanqing Liu Yueming Lyu Xiantao Hu Ziwen He W. Wang Caifeng Shan L. Wang AAML 39 0 0 21 Apr 2025
LaDTalk: Latent Denoising for Synthesizing Talking Head Videos with High Frequency Details Jian Yang Xukun Wang Wentao Wang Guoming Li Qihang Fang Ruihong Yuan Tianyang Wang Jason Zhaoxin Fan Yeying Jin Zhaoxin Fan VGen 41 1 0 01 Oct 2024
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems Z. Wang Min Gao Junliang Yu Xinyi Gao Quoc Viet Hung Nguyen S. Sadiq Hongzhi Yin AAML 34 3 0 18 Sep 2024
Evaluating Model Robustness Using Adaptive Sparse L0 Regularization Weiyou Liu Zhenyang Li Weitong Chen AAML 20 1 0 28 Aug 2024
On Feasibility of Intent Obfuscating Attacks Zhaobin Li Patrick Shafto AAML 24 0 0 22 Jul 2024
Adversarial Evasion Attack Efficiency against Large Language Models João Vitorino Eva Maia Isabel Praça AAML 31 2 0 12 Jun 2024
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario Renyang Liu Kwok-Yan Lam Wei Zhou Sixing Wu Jun Zhao Dongting Hu Mingming Gong AAML 24 0 0 30 Mar 2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions Runhao Zeng Xiaoyong Chen Jiaming Liang Huisi Wu Guangzhong Cao Yong Guo AAML 32 3 0 29 Mar 2024
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 51 3 0 20 Nov 2023
On existence, uniqueness and scalability of adversarial robustness measures for AI classifiers I. Horenko AAML 11 2 0 19 Oct 2023
Evading Detection Actively: Toward Anti-Forensics against Forgery Localization Long Zhuo Shenghai Luo Shunquan Tan Han Chen Bin Li Jiwu Huang AAML 18 0 0 16 Oct 2023
Robustified ANNs Reveal Wormholes Between Human Category Percepts Guy Gaziv Michael J. Lee J. DiCarlo AAML 8 6 0 14 Aug 2023
Face Encryption via Frequency-Restricted Identity-Agnostic Attacks Xinjie Dong Rui Wang Siyuan Liang Aishan Liu Lihua Jing AAML PICV 24 8 0 11 Aug 2023
The GANfather: Controllable generation of malicious activity to improve defence systems Ricardo Pereira Jacopo Bono João Tiago Ascensão David Oliveira Aparício Pedro Ribeiro P. Bizarro AAML 21 2 0 25 Jul 2023
Robust Ranking Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie FAtt AAML 25 0 0 08 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 19 7 0 01 Jul 2023
Graph-based methods coupled with specific distributional distances for adversarial attack detection dwight nwaigwe Lucrezia Carboni Martial Mermillod Sophie Achard M. Dojat AAML 19 3 0 31 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 27 81 0 19 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 30 47 0 18 May 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects Conrad Sanderson David M. Douglas Qinghua Lu 22 11 0 17 Apr 2023
Adversarial AI in Insurance: Pervasiveness and Resilience E. Luciano Matteo Cattaneo Ron S. Kenett AAML 14 1 0 17 Jan 2023
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models F. Liu Haowen Liu Wenzhao Jiang OOD 64 33 0 05 Oct 2022
Synthetic Data in Human Analysis: A Survey Indu Joshi Marcel Grimmer Christian Rathgeb Christoph Busch F. Brémond A. Dantcheva 20 46 0 19 Aug 2022
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks Bernd Prach Christoph H. Lampert 30 35 0 05 Aug 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale Gaoyuan Zhang Songtao Lu Yihua Zhang Xiangyi Chen Pin-Yu Chen Quanfu Fan Lee Martie L. Horesh Min-Fong Hong Sijia Liu OOD 22 12 0 13 Jun 2022
Face Verification Bypass Sanjana Sarda CVBM 14 0 0 28 Mar 2022
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 28 12 0 10 Feb 2022
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 14 60 0 15 Dec 2021
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods Peru Bhardwaj John D. Kelleher Luca Costabello Declan O’Sullivan 8 20 0 04 Nov 2021
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention S. Tan Runpei Dong Kaisheng Ma 17 2 0 03 Nov 2021
TESDA: Transform Enabled Statistical Detection of Attacks in Deep Neural Networks C. Amarnath Aishwarya H. Balwani Kwondo Ma Abhijit Chatterjee AAML 11 3 0 16 Oct 2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer Fanchao Qi Yangyi Chen Xurui Zhang Mukai Li Zhiyuan Liu Maosong Sun AAML SILM 77 171 0 14 Oct 2021
Introducing the DOME Activation Functions Mohamed E. Hussein Wael AbdAlmageed 20 1 0 30 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 22 234 0 01 Aug 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 17 71 0 04 Jul 2021
Localized Uncertainty Attacks Ousmane Amadou Dia Theofanis Karaletsos C. Hazirbas Cristian Canton Ferrer I. Kabul E. Meijer AAML 17 2 0 17 Jun 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 12 18 0 16 Apr 2021
Mitigating Adversarial Attack for Compute-in-Memory Accelerator Utilizing On-chip Finetune Shanshi Huang Hongwu Jiang Shimeng Yu AAML 18 3 0 13 Apr 2021
A Backdoor Attack against 3D Point Cloud Classifiers Zhen Xiang David J. Miller Siheng Chen Xi Li G. Kesidis 3DPC AAML 17 75 0 12 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 11 65 0 09 Apr 2021
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions Senthil Kumar Jagatheesaperumal Mohamed Rahouti Kashif Ahmad Ala I. Al-Fuqaha M. Guizani AI4CE 16 19 0 06 Apr 2021
Robust Vision-Based Cheat Detection in Competitive Gaming Aditya Jonnalagadda I. Frosio Seth Schneider M. McGuire Joohwan Kim AAML 24 15 0 18 Mar 2021
Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids Jiangnan Li Yingyuan Yang Jinyuan Stella Sun K. Tomsovic Hairong Qi AAML 13 14 0 17 Feb 2021
Achieving Adversarial Robustness Requires An Active Teacher Chao Ma Lexing Ying 16 1 0 14 Dec 2020
Can Adversarial Weight Perturbations Inject Neural Backdoors? Siddhant Garg Adarsh Kumar Vibhor Goel Yingyu Liang AAML 17 86 0 04 Aug 2020
Adversarial Example Games A. Bose Gauthier Gidel Hugo Berrard Andre Cianflone Pascal Vincent Simon Lacoste-Julien William L. Hamilton AAML GAN 23 51 0 01 Jul 2020
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers I. Fursov A. Zaytsev Nikita Klyuchnikov A. Kravchenko E. Burnaev AAML SILM 16 5 0 19 Jun 2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses Yaxin Li Wei Jin Han Xu Jiliang Tang AAML 9 128 0 13 May 2020
Learning to fool the speaker recognition Jiguo Li Xinfeng Zhang Jizheng Xu Li Zhang Y. Wang Siwei Ma Wen Gao AAML 22 21 0 07 Apr 2020