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Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

2 January 2018

Papers citing "Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey"

50 / 462 papers shown

Title
PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies Mojtaba Nafez Amirhossein Koochakian Arad Maleki Jafar Habibi M. Rohban AAML 45 0 0 10 Jun 2025
Breaking the Ceiling: Exploring the Potential of Jailbreak Attacks through Expanding Strategy Space Yao Huang Yitong Sun Shouwei Ruan Yichi Zhang Yinpeng Dong Xingxing Wei AAML 68 0 0 27 May 2025
Proof-Driven Clause Learning in Neural Network Verification Omri Isac Idan Refaeli Haoze Wu Clark W. Barrett Guy Katz 168 0 0 15 Mar 2025
Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous Driving Prashant Shekhar Bidur Devkota Dumindu Samaraweera Laxima Niure Kandel Manoj Babu AAML 102 0 0 22 Feb 2025
UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models Huawei Lin Yingjie Lao Tong Geng Tan Yu Weijie Zhao AAML SILM 160 3 0 18 Feb 2025
Image Watermarking of Generative Diffusion Models Yunzhuo Chen Jordan Vice Naveed Akhtar Nur Al Hasan Haldar Ajmal Mian WIGM 135 0 0 12 Feb 2025
How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies Basavasagar Patil Akansha Kalra Guanhong Tao Daniel S. Brown AAML 114 0 0 06 Feb 2025
Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Jialin Wu Kaikai Pan Yanjiao Chen Jiangyi Deng Shengyuan Pang Wei Dong ViT AAML 125 0 0 13 Jan 2025
Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khan Syed Ali Tariq Tehseen Zia Muhammad Ahsan David Windridge 91 1 0 12 Jan 2025
Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers Syed Ali Tariq Tehseen Zia Mubeen Ghafoor AAML 188 7 0 12 Jan 2025
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models Jordan Vice Naveed Akhtar Leonid Sigal Richard Hartley Ajmal Mian EGVM 147 0 0 21 Nov 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 178 1 0 07 Oct 2024
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures Xinheng Xie Kureha Yamaguchi Margaux Leblanc Simon Malzard Varun Chhabra Victoria Nockles Yue-bo Wu AAML 246 1 0 08 Sep 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 119 19 0 06 Aug 2024
Generating camera failures as a class of physics-based adversarial examples Manav Prabhakar Jwalandhar Girnar Arpan Kusari AAML GAN 54 0 0 23 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip Torr Adel Bibi AAML 122 1 0 22 May 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 99 4 0 29 Mar 2024
Understanding Deep Learning defenses Against Adversarial Examples Through Visualizations for Dynamic Risk Assessment Xabier Echeberria-Barrio Amaia Gil-Lerchundi Jon Egana-Zubia Raul Orduna Urrutia AAML 61 6 0 12 Feb 2024
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 157 96 0 25 Jan 2024
Reversing the Irreversible: A Survey on Inverse Biometrics M. Gomez-Barrero Javier Galbally 82 69 0 05 Jan 2024
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation Wenyi Tan Yang Li Chenxing Zhao Zhunga Liu Quanbiao Pan AAML 103 3 0 28 Dec 2023
DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions Fangzhou Wu Xiaogeng Liu Chaowei Xiao AAML SILM 114 28 0 07 Dec 2023
Defense Against Adversarial Attacks using Convolutional Auto-Encoders Shreyasi Mandal AAML 49 1 0 06 Dec 2023
Instruct2Attack: Language-Guided Semantic Adversarial Attacks Jiang-Long Liu Chen Wei Yuxiang Guo Heng Yu Alan Yuille Soheil Feizi Chun Pong Lau Rama Chellappa DiffM AAML 102 7 0 27 Nov 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 151 3 0 20 Nov 2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation Dzung Pham Shreyas Kulkarni Amir Houmansadr 94 0 0 29 Oct 2023
Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses E. Sizikova Niloufar Saharkhiz D. Sharma Miguel Lago B. Sahiner Jana G. Delfino Aldo Badano 61 6 0 27 Oct 2023
Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System Khushnaseeb Roshan Aasim Zafar Sheikh Burhan Ul Haque AAML 131 40 0 05 Oct 2023
PRAT: PRofiling Adversarial aTtacks Rahul Ambati Naveed Akhtar Ajmal Mian Yogesh S Rawat AAML 60 1 0 20 Sep 2023
DAD++: Improved Data-free Test Time Adversarial Defense Gaurav Kumar Nayak Inder Khatri Shubham Randive Ruchit Rawal Anirban Chakraborty AAML 74 2 0 10 Sep 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 152 3 0 20 Aug 2023
ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion Naufal Suryanto Yongsu Kim Harashta Tatimma Larasati Hyoeun Kang Thi-Thu-Huong Le Yoonyoung Hong Hunmin Yang Se-Yoon Oh Howon Kim AAML 75 26 0 14 Aug 2023
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato AAML 116 7 0 30 Jul 2023
A Vulnerability of Attribution Methods Using Pre-Softmax Scores Miguel A. Lerma Mirtha Lucas FAtt 58 0 0 06 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 118 9 0 01 Jul 2023
Stress Testing BERT Anaphora Resolution Models for Reaction Extraction in Chemical Patents Chieling Yueh Evangelos Kanoulas Bruno Martins Camilo Thorne S. Akhondi 41 0 0 23 Jun 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 128 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 130 6 0 10 Jun 2023
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection Eduardo Dadalto Camara Gomes Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 403 2 0 06 Jun 2023
Adversarial Ink: Componentwise Backward Error Attacks on Deep Learning Lucas Beerens D. Higham AAML 78 8 0 05 Jun 2023
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection Eduardo Dadalto Camara Gomes Marco Romanelli Georg Pichler Pablo Piantanida UQCV 95 5 0 02 Jun 2023
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach Mohammed Alkhowaiter Hisham A. Kholidy Mnassar Alyami Abdulmajeed Alghamdi C. Zou AAML 90 8 0 01 Jun 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 97 2 0 31 May 2023
Adversarial Defenses via Vector Quantization Zhiyi Dong Yongyi Mao AAML 74 1 0 23 May 2023
RSC-VAE: Recoding Semantic Consistency Based VAE for One-Class Novelty Detection Ge Zhang Wangzhe Du DRL 32 0 0 07 May 2023
Physical Adversarial Attacks for Surveillance: A Survey Kien Nguyen Thanh Tharindu Fernando Clinton Fookes Sridha Sridharan AAML 109 8 0 01 May 2023
Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense Jingyuan Wang Yufan Wu Mingxuan Li Xin Lin Junjie Wu Chao Li AAML 73 13 0 14 Apr 2023
EZClone: Improving DNN Model Extraction Attack via Shape Distillation from GPU Execution Profiles Jonah O'Brien Weiss Tiago A. O. Alves S. Kundu MIACV AAML FedML 83 8 0 06 Apr 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 98 29 0 28 Mar 2023
Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants with no False Negatives and no False Positives D. Widdowson V. Kurlin 3DPC 58 22 0 27 Mar 2023