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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown

Title
RetouchUAA: Unconstrained Adversarial Attack via Image Retouching Mengda Xie Yiling He Meie Fang AAML 66 1 0 27 Nov 2023
Adversarial Purification of Information Masking Sitong Liu Z. Lian Shuangquan Zhang Liang Xiao AAML 74 0 0 26 Nov 2023
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models Francesco Croce Matthias Hein VLM 67 3 0 24 Nov 2023
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence Benoît Coqueret Mathieu Carbone Olivier Sentieys Gabriel Zaid 89 2 0 23 Nov 2023
Security and Privacy Challenges in Deep Learning Models Gopichandh Golla AAML SILM MIACV 45 1 0 23 Nov 2023
Panda or not Panda? Understanding Adversarial Attacks with Interactive Visualization Yuzhe You Jarvis Tse Jian Zhao AAML 58 3 0 22 Nov 2023
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation Zisheng Xu Qiao Yan Fei Yu Victor C.M. Leung AAML 82 1 0 22 Nov 2023
Attacking Motion Planners Using Adversarial Perception Errors Jonathan Sadeghi Nicholas A. Lord John Redford Romain Mueller AAML 79 2 0 21 Nov 2023
AdvGen: Physical Adversarial Attack on Face Presentation Attack Detection Systems Sai Amrit Patnaik Shivali Chansoriya Anil K. Jain A. Namboodiri AAML GAN 82 0 0 20 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 135 3 0 20 Nov 2023
Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 62 2 0 19 Nov 2023
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models Heeseon Kim Minji Son Minbeom Kim Myung-Joon Kwon Changick Kim AAML 103 7 0 17 Nov 2023
Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts Shashank Kotyan Danilo Vasconcellos Vargas AAML 35 0 0 16 Nov 2023
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 75 0 0 15 Nov 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning Shashank Kotyan Danilo Vasconcellos Vargas AAML 47 0 0 14 Nov 2023
On the Robustness of Neural Collapse and the Neural Collapse of Robustness Jingtong Su Ya Shi Zhang Nikolaos Tsilivis Julia Kempe AAML 61 7 0 13 Nov 2023
Transpose Attack: Stealing Datasets with Bidirectional Training Guy Amit Mosh Levy Yisroel Mirsky SILM AAML 88 1 0 13 Nov 2023
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models Yuanbin Cheng Koji Yamashita Jim Follum Nanpeng Yu AAML 112 2 0 13 Nov 2023
Robust Text Classification: Analyzing Prototype-Based Networks Zhivar Sourati D. Deshpande Filip Ilievski Kiril Gashteovski S. Saralajew OOD OffRL 85 2 0 11 Nov 2023
Flatness-aware Adversarial Attack Mingyuan Fan Xiaodan Li Cen Chen Yinggui Wang AAML 69 2 0 10 Nov 2023
Upper and lower bounds for the Lipschitz constant of random neural networks Paul Geuchen Thomas Heindl Dominik Stöger Felix Voigtlaender AAML 109 0 0 02 Nov 2023
Adversarial Examples in the Physical World: A Survey Jiakai Wang Xianglong Liu Jin Hu Donghua Wang Siyang Wu Tingsong Jiang Wenbiao Yao Aishan Liu Aishan Liu Jiantao Zhou AAML 111 4 0 01 Nov 2023
Exploring Geometry of Blind Spots in Vision Models S. Balasubramanian Gaurang Sriramanan Vinu Sankar Sadasivan Soheil Feizi AAML 67 2 0 30 Oct 2023
Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods Mahdi Salmani Alireza Dehghanpour Farashah Mohammad Azizmalayeri Mahdi Amiri Navid Eslami M. T. Manzuri M. Rohban AAML 59 1 0 29 Oct 2023
LipSim: A Provably Robust Perceptual Similarity Metric Sara Ghazanfari Alexandre Araujo Prashanth Krishnamurthy Farshad Khorrami Siddharth Garg 107 7 0 27 Oct 2023
Trust, but Verify: Robust Image Segmentation using Deep Learning F. Zaman Xiaodong Wu Weiyu Xu Milan Sonka R. Mudumbai OOD AAML 31 2 0 25 Oct 2023
Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition Bishal Shrestha Griwan Khakurel Kritika Simkhada Badri Adhikari AAML 77 0 0 25 Oct 2023
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval Xu Yuan Zheng Zhang Xunguang Wang Lin Wu AAML 64 11 0 23 Oct 2023
An LLM can Fool Itself: A Prompt-Based Adversarial Attack Xilie Xu Keyi Kong Ning Liu Li-zhen Cui Di Wang Jingfeng Zhang Mohan Kankanhalli AAML SILM 126 88 0 20 Oct 2023
Learn from the Past: A Proxy Guided Adversarial Defense Framework with Self Distillation Regularization Yaohua Liu Jiaxin Gao Xianghao Jiao Zhu Liu Xin-Yue Fan Risheng Liu AAML 87 0 0 19 Oct 2023
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks Yue Cao Tianlin Li Xiaofeng Cao Ivor Tsang Yang Liu Qing Guo AAML 66 2 0 18 Oct 2023
Adversarial Training for Physics-Informed Neural Networks Yao Li Shengzhu Shi Zhichang Guo Boying Wu AAML PINN 84 0 0 18 Oct 2023
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier Jerry Zhi-Yang He Zackory M. Erickson Daniel S. Brown Anca Dragan AAML 83 0 0 16 Oct 2023
AFLOW: Developing Adversarial Examples under Extremely Noise-limited Settings Renyang Liu Jinhong Zhang Haoran Li Jin Zhang Yuanyu Wang Wei Zhou AAML 61 3 0 15 Oct 2023
SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack Renyang Liu Jinhong Zhang Kwok-Yan Lam Jun Zhao Wei Zhou 39 1 0 15 Oct 2023
Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks Erfan Darzi N. Sijtsema P. V. Ooijen 54 2 0 12 Oct 2023
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks Anastasia Antsiferova Khaled Abud Aleksandr Gushchin E. Shumitskaya Sergey Lavrushkin D. Vatolin 95 11 0 10 Oct 2023
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks Lukas Struppek Dominik Hintersdorf Kristian Kersting 68 15 0 10 Oct 2023
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks Yang Wang B. Dong Ke Xu Haiyin Piao Yufei Ding Baocai Yin Xin Yang AAML 74 3 0 10 Oct 2023
Exploring adversarial attacks in federated learning for medical imaging Erfan Darzi Florian Dubost N. Sijtsema P. V. van Ooijen MedIm 65 7 0 10 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization Jiancong Xiao Ruoyu Sun Zhimin Luo AAML 76 7 0 09 Oct 2023
An Initial Investigation of Neural Replay Simulator for Over-the-Air Adversarial Perturbations to Automatic Speaker Verification Jiaqi Li Li Wang Liumeng Xue Lei Wang Zhizheng Wu AAML 78 3 0 09 Oct 2023
GReAT: A Graph Regularized Adversarial Training Method Samet Bayram Kenneth Barner OOD AAML 70 1 0 09 Oct 2023
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 133 6 0 06 Oct 2023
SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers K. Navaneet Soroush Abbasi Koohpayegani Essam Sleiman Hamed Pirsiavash AAML ViT 60 3 0 04 Oct 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 89 4 0 03 Oct 2023
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework Xilie Xu Jingfeng Zhang Mohan Kankanhalli AAML 70 10 0 03 Oct 2023
Counterfactual Image Generation for adversarially robust and interpretable Classifiers Rafael Bischof Florian Scheidegger Michael A. Kraus A. Malossi AAML 59 2 0 01 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 85 18 0 01 Oct 2023
Refutation of Shapley Values for XAI -- Additional Evidence Xuanxiang Huang Sasha Rubin AAML 75 4 0 30 Sep 2023