Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 1,598 papers shown

Title
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics Victoria Leonenkova E. Shumitskaya Anastasia Antsiferova D. Vatolin 39 3 0 15 Apr 2024
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis Dipkamal Bhusal Md Tanvirul Alam M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi AAML 36 1 0 12 Apr 2024
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 28 3 0 12 Apr 2024
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples Brian Bell Michael Geyer David Glickenstein Keaton Hamm C. Scheidegger Amanda S. Fernandez Juston Moore AAML 36 0 0 11 Apr 2024
Adversarial purification for no-reference image-quality metrics: applicability study and new methods Aleksandr Gushchin Anna Chistyakova Vladislav Minashkin Anastasia Antsiferova D. Vatolin 34 2 0 10 Apr 2024
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data Yu Qiao Chaoning Zhang Apurba Adhikary Choong Seon Hong FedML 33 7 0 10 Apr 2024
Towards Robust Domain Generation Algorithm Classification Arthur Drichel Marc Meyer Ulrike Meyer AAML 33 3 0 09 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 38 5 0 08 Apr 2024
Quantifying AI Vulnerabilities: A Synthesis of Complexity, Dynamical Systems, and Game Theory B. Kereopa-Yorke 31 0 0 07 Apr 2024
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems Francesco Marchiori Mauro Conti AAML 24 0 0 06 Apr 2024
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning Selim Furkan Tekin Fatih Ilhan Tiansheng Huang Sihao Hu Ka-Ho Chow Margaret Loper Ling Liu 34 1 0 05 Apr 2024
Adversarial Attacks and Dimensionality in Text Classifiers Nandish Chattopadhyay Atreya Goswami Anupam Chattopadhyay SILM AAML 19 1 0 03 Apr 2024
One Noise to Rule Them All: Multi-View Adversarial Attacks with Universal Perturbation Mehmet Ergezer Phat Duong Christian Green Tommy Nguyen Abdurrahman Zeybey AAML 26 2 0 02 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay Yuhang Zhou Zhongyun Hua AAML CLL 29 3 0 02 Apr 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 28 0 0 30 Mar 2024
On Inherent Adversarial Robustness of Active Vision Systems Amitangshu Mukherjee Timur Ibrayev Kaushik Roy AAML 36 0 0 29 Mar 2024
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection Jiayi Zhu Qing-Wu Guo Felix Juefei Xu Yihao Huang Yang Liu G. Pu DiffM AAML 19 1 0 27 Mar 2024
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks Tian Ye Rajgopal Kannan Viktor Prasanna Carl E. Busart AAML 12 1 0 27 Mar 2024
FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids Emad Efatinasab Francesco Marchiori Alessandro Brighente M. Rampazzo Mauro Conti AAML 31 3 0 26 Mar 2024
The Anatomy of Adversarial Attacks: Concept-based XAI Dissection Georgii Mikriukov Gesina Schwalbe Franz Motzkus Korinna Bade AAML 19 1 0 25 Mar 2024
DeepKnowledge: Generalisation-Driven Deep Learning Testing S. Missaoui Simos Gerasimou Nikolaos Matragkas 25 0 0 25 Mar 2024
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models Kaikang Zhao Xi Chen Wei Huang Liuxin Ding Xianglong Kong Fan Zhang AAML 39 1 0 25 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 36 0 0 23 Mar 2024
Robust optimization for adversarial learning with finite sample complexity guarantees André Bertolace Konstatinos Gatsis Kostas Margellos AAML 25 1 0 22 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei-ping Xu DD AAML 38 5 0 20 Mar 2024
Robust NAS under adversarial training: benchmark, theory, and beyond Yongtao Wu Fanghui Liu Carl-Johann Simon-Gabriel Grigorios G. Chrysos V. Cevher AAML OOD 27 3 0 19 Mar 2024
SSCAE -- Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator J. Asl Mohammad H. Rafiei Manar Alohaly Daniel Takabi AAML SILM 23 3 0 18 Mar 2024
Towards Non-Adversarial Algorithmic Recourse Tobias Leemann Martin Pawelczyk Bardh Prenkaj Gjergji Kasneci AAML 28 1 0 15 Mar 2024
Time-Frequency Jointed Imperceptible Adversarial Attack to Brainprint Recognition with Deep Learning Models Hangjie Yi Yuhang Ming Dongjun Liu Wanzeng Kong AAML 19 0 0 15 Mar 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 61 8 0 15 Mar 2024
Versatile Defense Against Adversarial Attacks on Image Recognition Haibo Zhang Zhihua Yao Kouichi Sakurai AAML 21 1 0 13 Mar 2024
PCLD: Point Cloud Layerwise Diffusion for Adversarial Purification Mert Gulsen Batuhan Cengiz Y. Sahin Gözde B. Ünal DiffM AAML 26 0 0 11 Mar 2024
epsilon-Mesh Attack: A Surface-based Adversarial Point Cloud Attack for Facial Expression Recognition Batuhan Cengiz Mert Gulsen Y. Sahin Gözde B. Ünal 3DPC AAML 23 0 0 11 Mar 2024
IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics E. Shumitskaya Anastasia Antsiferova D. Vatolin 43 2 0 09 Mar 2024
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume Ping Guo Cheng Gong Xi Lin Zhiyuan Yang Qingfu Zhang AAML 26 2 0 08 Mar 2024
Towards Robust Federated Learning via Logits Calibration on Non-IID Data Yu Qiao Apurba Adhikary Chaoning Zhang Choong Seon Hong FedML 27 8 0 05 Mar 2024
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense Qiao Han yong huang Xinling Guo Yiteng Zhai Yu Qin Yao Yang AAML 16 1 0 29 Feb 2024
Comparing Importance Sampling Based Methods for Mitigating the Effect of Class Imbalance Indu Panigrahi Richard Zhu 26 1 0 28 Feb 2024
Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks Zhewei Wu Ruilong Yu Qihe Liu Shuying Cheng Shilin Qiu Shijie Zhou AAML 33 0 0 28 Feb 2024
Black-box Adversarial Attacks Against Image Quality Assessment Models Yu Ran Ao Zhang Mingjie Li Weixuan Tang Yuan-Gen Wang 34 8 0 27 Feb 2024
Adversarial Perturbations of Physical Signals Robert L. Bassett Austin Van Dellen Anthony P. Austin AAML 19 0 0 27 Feb 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free Bo Yang Hengwei Zhang Jin-dong Wang Yulong Yang Chenhao Lin Chao Shen Zhengyu Zhao SILM AAML 68 1 0 27 Feb 2024
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation Xiaohui Chen Tie Luo MedIm OOD 22 0 0 25 Feb 2024
Optimal Zero-Shot Detector for Multi-Armed Attacks Federica Granese Marco Romanelli Pablo Piantanida AAML 36 0 0 24 Feb 2024
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales Shuren Qi Yushu Zhang Chao Wang Zhihua Xia Xiaochun Cao Jian Weng 16 1 0 23 Feb 2024
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness David Fernández Llorca Ronan Hamon Henrik Junklewitz Kathrin Grosse Lars Kunze ... Nick Reed Alexandre Alahi Emilia Gómez Ignacio E. Sánchez Á. Kriston 45 5 0 21 Feb 2024
VGMShield: Mitigating Misuse of Video Generative Models Yan Pang Yang Zhang Tianhao Wang 34 3 0 20 Feb 2024
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems Jinjing Shi Zimeng Xiao Heyuan Shi Yu Jiang Xuelong Li AAML 36 2 0 20 Feb 2024
Maintaining Adversarial Robustness in Continuous Learning Xiaolei Ru Xiaowei Cao Zijia Liu Jack Murdoch Moore Xin-Ya Zhang Xia Zhu Wenjia Wei Gang Yan AAML 19 1 0 17 Feb 2024
The AI Security Pyramid of Pain Chris M. Ward Joshua D. Harguess Julia Tao Daniel Christman Paul Spicer Mike Tan 11 1 0 16 Feb 2024