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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
Intrinsic Biologically Plausible Adversarial Robustness Matilde Tristany Farinha Thomas Ortner Giorgia Dellaferrera Benjamin Grewe A. Pantazi AAML 110 1 0 29 Sep 2023
Investigating Human-Identifiable Features Hidden in Adversarial Perturbations Dennis Y. Menn Tzu-hsun Feng Sriram Vishwanath Hung-yi Lee AAML 53 0 0 28 Sep 2023
On the Trade-offs between Adversarial Robustness and Actionable Explanations Satyapriya Krishna Chirag Agarwal Himabindu Lakkaraju AAML 84 0 0 28 Sep 2023
Defending Against Physical Adversarial Patch Attacks on Infrared Human Detection Lukas Strack Futa Waseda H. Nguyen Yinqiang Zheng Isao Echizen AAML 93 2 0 27 Sep 2023
Structure Invariant Transformation for better Adversarial Transferability Xiaosen Wang Zeliang Zhang Jianping Zhang AAML 76 66 0 26 Sep 2023
Single Image Test-Time Adaptation for Segmentation Klara Janouskova T. Shor Chaim Baskin Jirí Matas TTA OOD 114 3 0 25 Sep 2023
Adversarial Attacks on Video Object Segmentation with Hard Region Discovery P. Li Yu Zhang L. Yuan Jian Zhao Xianghua Xu Xiaoqing Zhang AAML VOS 80 15 0 25 Sep 2023
Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks Ao Zhang Yu Ran Weixuan Tang Yuan-Gen Wang 95 14 0 24 Sep 2023
Improving Machine Learning Robustness via Adversarial Training Long Dang T. Hapuarachchi Kaiqi Xiong Jing Lin OOD AAML 58 2 0 22 Sep 2023
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation Krishna Kanth Nakka Mathieu Salzmann DRL CoGe 79 2 0 20 Sep 2023
PRAT: PRofiling Adversarial aTtacks Rahul Ambati Naveed Akhtar Ajmal Mian Yogesh S Rawat AAML 53 1 0 20 Sep 2023
Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement Shanglin Lei Xiaoping Wang Guanting Dong Jiang Li Yingjian Liu 61 2 0 18 Sep 2023
Differentiable JPEG: The Devil is in the Details Christoph Reich Biplob K. Debnath Deep Patel S. Chakradhar DiffM 108 10 0 13 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
Exploring Robust Features for Improving Adversarial Robustness Hong Wang Yuefan Deng Shinjae Yoo Yuewei Lin AAML 98 4 0 09 Sep 2023
How adversarial attacks can disrupt seemingly stable accurate classifiers Oliver J. Sutton Qinghua Zhou I. Tyukin Alexander N. Gorban Alexander Bastounis D. Higham AAML 69 1 0 07 Sep 2023
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series Chang George Dong Liangwei Nathan Zheng Weitong Chen Wei Emma Zhang Lin Yue AAML 54 7 0 06 Sep 2023
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems Abhishek Moitra Abhiroop Bhattacharjee Youngeun Kim Priyadarshini Panda AAML 51 1 0 05 Sep 2023
The Adversarial Implications of Variable-Time Inference Dudi Biton Aditi Misra Efrat Levy J. Kotak Ron Bitton R. Schuster Nicolas Papernot Yuval Elovici Ben Nassi AAML 29 0 0 05 Sep 2023
Hindering Adversarial Attacks with Multiple Encrypted Patch Embeddings AprilPyone Maungmaung Isao Echizen Hitoshi Kiya AAML 64 2 0 04 Sep 2023
Toward Defensive Letter Design Rentaro Kataoka Akisato Kimura Seiichi Uchida AAML 41 0 0 04 Sep 2023
Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet Yunuo Xiong Shujuan Liu H. Xiong AAML 39 0 0 03 Sep 2023
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection Weijie Wang Zhengyu Zhao N. Sebe Bruno Lepri AAML 70 2 0 03 Sep 2023
Timbre-reserved Adversarial Attack in Speaker Identification Qing Wang Jixun Yao Li Zhang Pengcheng Guo Linfu Xie AAML 79 4 0 02 Sep 2023
Towards Certified Probabilistic Robustness with High Accuracy Ruihan Zhang Peixin Zhang Jun Sun AAML 65 0 0 02 Sep 2023
Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach Zahra Chaghazardi Saber Fallah Alireza Tamaddoni-Nezhad AAML 74 3 0 30 Aug 2023
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks Arezoo Rajabi Surudhi Asokraj Feng-Shr Jiang Luyao Niu Bhaskar Ramasubramanian J. Ritcey Radha Poovendran AAML 54 1 0 30 Aug 2023
Can We Rely on AI? D. Higham AAML 63 0 0 29 Aug 2023
On-Manifold Projected Gradient Descent Aaron Mahler Tyrus Berry Thomas Stephens Harbir Antil Michael Merritt Jeanie Schreiber Ioannis G. Kevrekidis AAML 82 0 0 23 Aug 2023
Adversarial Training Using Feedback Loops Ali Haisam Muhammad Rafid Adrian Sandu AAML 41 1 0 23 Aug 2023
Adversarial Illusions in Multi-Modal Embeddings Tingwei Zhang Rishi Jha Eugene Bagdasaryan Vitaly Shmatikov AAML 138 11 0 22 Aug 2023
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer Zhijin Ge Fanhua Shang Hongying Liu Yuanyuan Liu Liang Wan Wei Feng Xiaosen Wang AAML 94 19 0 21 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 107 44 0 20 Aug 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 146 3 0 20 Aug 2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks Yihua Zhang Ruisi Cai Tianlong Chen Guanhua Zhang Huan Zhang Pin-Yu Chen Shiyu Chang Zhangyang Wang Sijia Liu MoE AAML OOD 91 19 0 19 Aug 2023
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software Wenxuan Wang Jingyuan Huang Jen-tse Huang Chang Chen Jiazhen Gu Pinjia He Michael R. Lyu VLM 61 6 0 18 Aug 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing Dmitrii Korzh Alireza Azadbakht Maryam Tahmasbi Alireza Javaheri AAML 81 0 0 17 Aug 2023
A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models Zhongliang Guo Weiye Li Yifei Qian Ognjen Arandjelovic Lei Fang AAML 90 14 0 17 Aug 2023
Benchmarking Adversarial Robustness of Compressed Deep Learning Models Brijesh Vora Kartik Patwari Syed Mahbub Hafiz Zubair Shafiq Chen-Nee Chuah AAML 70 2 0 16 Aug 2023
A Review of Adversarial Attacks in Computer Vision Yutong Zhang Yao Li Yin Li Zhichang Guo AAML 86 3 0 15 Aug 2023
Backpropagation Path Search On Adversarial Transferability Zhuoer Xu Zhangxuan Gu Jianping Zhang Shiwen Cui Changhua Meng Weiqiang Wang AAML 74 5 0 15 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection João Vitorino Isabel Praça Eva Maia AAML 61 26 0 13 Aug 2023
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook Amira Guesmi Muhammad Abdullah Hanif B. Ouni Muhammed Shafique AAML 120 23 0 11 Aug 2023
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation Xuantong Liu Yaoyao Zhong Yuhang Zhang Lixiong Qin Weihong Deng AAML 94 25 0 11 Aug 2023
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient Zhengzhi Lu He Wang Ziyi Chang Guoan Yang Hubert P. H. Shum AAML 71 10 0 10 Aug 2023
SegMatch: A semi-supervised learning method for surgical instrument segmentation Meng Wei Charlie Budd Luis C. Garcia-Peraza-Herrera Reuben Dorent Miaojing Shi Tom Vercauteren 70 5 0 09 Aug 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation Dongyoon Yang Insung Kong Yongdai Kim 74 4 0 08 Aug 2023
Exploring the Physical World Adversarial Robustness of Vehicle Detection Wei Jiang Tianyuan Zhang Shuang Liu Weiyu Ji Zichao Zhang Gang Xiao AAML 54 6 0 07 Aug 2023
A reading survey on adversarial machine learning: Adversarial attacks and their understanding Shashank Kotyan AAML 66 6 0 07 Aug 2023
Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change Chien Cheng Chyou Hung-Ting Su Winston H. Hsu AAML 34 2 0 07 Aug 2023