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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
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR Bowen Peng Bo Peng Jingyuan Xia Tianpeng Liu Yongxiang Liu Li Liu AAML 74 5 0 30 Jan 2024
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning Baoyuan Wu Hongrui Chen Ruotong Wang Zihao Zhu Shaokui Wei Danni Yuan Mingli Zhu Ke Xu Li Liu Chaoxiao Shen AAML ELM 127 11 0 26 Jan 2024
Friendly Attacks to Improve Channel Coding Reliability Anastasia Kurmukova Deniz Gunduz AAML 91 2 0 25 Jan 2024
AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptation Lulan Shen Ali Edalati Brett H. Meyer Warren Gross James J. Clark 56 0 0 24 Jan 2024
Adversarial speech for voice privacy protection from Personalized Speech generation Shihao Chen Liping Chen Jie Zhang KongAik Lee Zhenhua Ling Lirong Dai AAML 48 1 0 22 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 102 3 0 22 Jan 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 52 1 0 20 Jan 2024
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks Ping Guo Xiang Li Zhiyuan Yang Xi Lin Qingchuan Zhao Qingfu Zhang AAML 100 4 0 19 Jan 2024
Hijacking Attacks against Neural Networks by Analyzing Training Data Yunjie Ge Qian Wang Huayang Huang Qi Li Cong Wang Chao Shen Lingchen Zhao Peipei Jiang Zheng Fang Shenyi Zhang 91 0 0 18 Jan 2024
Towards Scalable and Robust Model Versioning Wenxin Ding A. Bhagoji Ben Y. Zhao Haitao Zheng AAML 82 0 0 17 Jan 2024
Bag of Tricks to Boost Adversarial Transferability Zeliang Zhang Rongyi Zhu Wei Yao Xiaosen Wang Chenliang Xu AAML 86 11 0 16 Jan 2024
Robustness Against Adversarial Attacks via Learning Confined Adversarial Polytopes Shayan Mohajer Hamidi Linfeng Ye AAML 63 3 0 15 Jan 2024
Predominant Aspects on Security for Quantum Machine Learning: Literature Review Nicola Franco Alona Sakhnenko Leon Stolpmann Daniel Thuerck Fabian Petsch Annika Rüll J. M. Lorenz 60 9 0 15 Jan 2024
Structure-Preserving Physics-Informed Neural Networks With Energy or Lyapunov Structure Haoyu Chu Yuto Miyatake Wenjun Cui Shikui Wei Daisuke Furihata PINN 79 3 0 10 Jan 2024
Identifying Important Group of Pixels using Interactions Kosuke Sumiyasu Kazuhiko Kawamoto Hiroshi Kera 75 2 0 08 Jan 2024
Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception Takami Sato Sri Hrushikesh Varma Bhupathiraju Michael Clifford Takeshi Sugawara Qi Alfred Chen Sara Rampazzi AAML 54 17 0 07 Jan 2024
Enhancing targeted transferability via feature space fine-tuning Hui Zeng Biwei Chen Anjie Peng AAML 87 5 0 05 Jan 2024
JMA: a General Algorithm to Craft Nearly Optimal Targeted Adversarial Example B. Tondi Wei Guo Mauro Barni AAML 35 0 0 02 Jan 2024
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation Sebastian-Vasile Echim Iulian-Marius Taiatu Dumitru-Clementin Cercel Florin-Catalin Pop 89 1 0 30 Dec 2023
TPatch: A Triggered Physical Adversarial Patch Wenjun Zhu Xiaoyu Ji Yushi Cheng Shibo Zhang Wenyuan Xu AAML 105 26 0 30 Dec 2023
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World Zheng Zhou Hong Zhao Ju Liu Qiaosheng Zhang Liwei Geng Shuchang Lyu W. Feng AAML 76 2 0 29 Dec 2023
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 99 8 0 28 Dec 2023
Natural Adversarial Patch Generation Method Based on Latent Diffusion Model Xianyi Chen Fazhan Liu Dong Jiang Kai Yan AAML DiffM 49 1 0 27 Dec 2023
From Text to Multimodal: A Comprehensive Survey of Adversarial Example Generation in Question Answering Systems Gulsum Yigit M. Amasyalı AAML 64 0 0 26 Dec 2023
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings Nikhil Mehta Kevin J. Liang Jing Huang Fu-Jen Chu Li Yin Tal Hassner OODD 86 2 0 22 Dec 2023
AdvCloak: Customized Adversarial Cloak for Privacy Protection Xuannan Liu Yaoyao Zhong Xingchen Cui Yuhang Zhang Peipei Li Weihong Deng PICV 58 2 0 22 Dec 2023
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience Janvi Thakkar Giulio Zizzo S. Maffeis AAML 37 1 0 21 Dec 2023
AutoAugment Input Transformation for Highly Transferable Targeted Attacks Haobo Lu Xin Liu Kun He AAML 56 0 0 21 Dec 2023
MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks Zhiyu Zhu Huaming Chen Jiayu Zhang Xinyi Wang Zhibo Jin Minhui Xue Dongxiao Zhu Kim-Kwang Raymond Choo FAtt 65 11 0 21 Dec 2023
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples Ruichu Cai Yuxuan Zhu Jie Qiao Zefeng Liang Furui Liu Zhifeng Hao CML 94 5 0 21 Dec 2023
Trust, But Verify: A Survey of Randomized Smoothing Techniques Anupriya Kumari Devansh Bhardwaj Sukrit Jindal Sarthak Gupta AAML 88 4 0 19 Dec 2023
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations Zebin Yun Achi-Or Weingarten Eyal Ronen Mahmood Sharif 64 2 0 18 Dec 2023
Transformers in Unsupervised Structure-from-Motion Hemang Chawla Arnav Varma Elahe Arani Bahram Zonooz ViT 48 1 0 16 Dec 2023
VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees Anahita Baninajjar Ahmed Rezine A. Aminifar AAML 53 1 0 15 Dec 2023
Embodied Adversarial Attack: A Dynamic Robust Physical Attack in Autonomous Driving Yitong Sun Yao Huang Xingxing Wei AAML 63 1 0 15 Dec 2023
Radio Signal Classification by Adversarially Robust Quantum Machine Learning Yanqiu Wu E. Adermann Chandra Thapa S. Çamtepe Hajime Suzuki Muhammad Usman AAML 59 3 0 13 Dec 2023
DTA: Distribution Transform-based Attack for Query-Limited Scenario Renyang Liu Wei Zhou Xin Jin Song Gao Yuanyu Wang Ruxin Wang 61 0 0 12 Dec 2023
Towards Transferable Adversarial Attacks with Centralized Perturbation Shangbo Wu Yu-an Tan Yajie Wang Ruinan Ma Wencong Ma Yuan-zhang Li AAML 80 9 0 11 Dec 2023
Defense Against Adversarial Attacks using Convolutional Auto-Encoders Shreyasi Mandal AAML 45 1 0 06 Dec 2023
A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System Xinwei Yuan Shu Han Wei Huang Hongliang Ye Xianglong Kong Fan Zhang AAML 75 23 0 06 Dec 2023
Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers Tian Ye Rajgopal Kannan Viktor Prasanna Carl E. Busart Lance M. Kaplan 63 5 0 05 Dec 2023
Generating Visually Realistic Adversarial Patch Xiaosen Wang Kunyu Wang AAML 55 0 0 05 Dec 2023
Rethinking PGD Attack: Is Sign Function Necessary? Junjie Yang Tianlong Chen Xuxi Chen Zhangyang Wang Yingbin Liang AAML 98 1 0 03 Dec 2023
FRAUDability: Estimating Users' Susceptibility to Financial Fraud Using Adversarial Machine Learning Chen Doytshman Satoru Momiyama Inderjeet Singh Yuval Elovici A. Shabtai 39 1 0 02 Dec 2023
Fool the Hydra: Adversarial Attacks against Multi-view Object Detection Systems Bilel Tarchoun Quazi Mishkatul Alam Nael B. Abu-Ghazaleh Ihsen Alouani AAML 36 0 0 30 Nov 2023
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers Chi-Pin Huang Kai-Po Chang Chung-Ting Tsai Yung-Hsuan Lai Fu-En Yang Yu-Chiang Frank Wang DiffM 105 56 0 29 Nov 2023
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model AprilPyone Maungmaung Isao Echizen Hitoshi Kiya VLM AAML 57 0 0 28 Nov 2023
Rethinking Mixup for Improving the Adversarial Transferability Xiaosen Wang Zeyuan Yin AAML 54 2 0 28 Nov 2023
On the Robustness of Decision-Focused Learning Yehya Farhat 75 0 0 28 Nov 2023
Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence Svetlana Pavlitska Hannes Grolig J. Marius Zöllner AAML 138 3 0 27 Nov 2023