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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
Towards Better Certified Segmentation via Diffusion Models Othmane Laousy Alexandre Araujo G. Chassagnon M. Revel S. Garg Farshad Khorrami Maria Vakalopoulou DiffM 86 2 0 16 Jun 2023
Global-Local Processing in Convolutional Neural Networks Z. Rezvani Soroor Shekarizeh Mohammad Sabokrou 13 0 0 14 Jun 2023
On the Robustness of Latent Diffusion Models Jianping Zhang Zhuoer Xu Shiwen Cui Changhua Meng Weibin Wu Michael R. Lyu AAML 82 20 0 14 Jun 2023
Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis Yi Ma Zhengyu Zhao Xinlei He Zheng Li Michael Backes Yang Zhang AAML WIGM 90 21 0 13 Jun 2023
On Achieving Optimal Adversarial Test Error Justin D. Li Matus Telgarsky AAML 62 2 0 13 Jun 2023
On the Robustness of Removal-Based Feature Attributions Christy Lin Ian Covert Su-In Lee 122 13 0 12 Jun 2023
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework Minglei Yin Bin Liu Neil Zhenqiang Gong Xin Li AAML 53 1 0 11 Jun 2023
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions Ezgi Korkmaz Jonah Brown-Cohen AAML 70 9 0 09 Jun 2023
Best Practices for Machine Learning Systems: An Industrial Framework for Analysis and Optimization G. Chouliaras Kornel Kielczewski Amit Beka D. Konopnicki Lucas Bernardi 16 0 0 09 Jun 2023
Spike timing reshapes robustness against attacks in spiking neural networks Jianhao Ding Zhaofei Yu Tiejun Huang Jian K. Liu AAML 86 2 0 09 Jun 2023
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning Mohamed el Shehaby Ashraf Matrawy AAML 101 7 0 08 Jun 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima Zhijin Ge Hongying Liu Xiaosen Wang Fanhua Shang Yuanyuan Liu AAML 91 48 0 08 Jun 2023
Does Image Anonymization Impact Computer Vision Training? Håkon Hukkelås Frank Lindseth PICV CVBM 81 20 0 08 Jun 2023
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts Kaijie Zhu Jindong Wang Jiaheng Zhou Zichen Wang Hao Chen ... Linyi Yang Weirong Ye Yue Zhang Neil Zhenqiang Gong Xingxu Xie SILM 135 144 0 07 Jun 2023
Adversarial Sample Detection Through Neural Network Transport Dynamics Skander Karkar Patrick Gallinari A. Rakotomamonjy AAML 49 1 0 07 Jun 2023
Evaluating robustness of support vector machines with the Lagrangian dual approach Yuting Liu Hong Gu Pan Qin AAML 100 2 0 05 Jun 2023
Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion Attacks Jiyi Zhang Hansheng Fang E. Chang AAML 43 0 0 02 Jun 2023
Adversarial Attack Based on Prediction-Correction Chen Wan Fangjun Huang AAML 62 4 0 02 Jun 2023
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems Mingyi Zhou Xiang Gao Jing Wu John C. Grundy Xiao Chen Chunyang Chen Li Li AAML 109 13 0 01 Jun 2023
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness Zhan Hu Jun Zhu Bo Zhang Xiaolin Hu AAML 72 2 0 28 May 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability Haotian Xue Alexandre Araujo Bin Hu Yongxin Chen DiffM 145 48 0 25 May 2023
Rectifying Group Irregularities in Explanations for Distribution Shift Adam Stein Yinjun Wu Eric Wong Mayur Naik 92 1 0 25 May 2023
On the Robustness of Segment Anything Yihao Huang Yue Cao Tianlin Li Felix Juefei Xu Di Lin Ivor W.Tsang Yang Liu Qing Guo AAML VLM 88 27 0 25 May 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score Shuhai Zhang Feng Liu Jiahao Yang Yifan Yang Changsheng Li Bo Han Mingkui Tan DiffM AAML 58 18 0 25 May 2023
Adversarial Attacks on Leakage Detectors in Water Distribution Networks Paul Stahlhofen André Artelt L. Hermes Barbara Hammer AAML 140 2 0 25 May 2023
PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation Xianghao Jiao Yao-Tsorng Liu Jiaxin Gao Xinyuan Chu Risheng Liu Xin-Yue Fan VLM 90 6 0 25 May 2023
Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics E. Shumitskaya Anastasia Antsiferova D. Vatolin 64 7 0 24 May 2023
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup Junyoung Byun Myung-Joon Kwon Seungju Cho Yoonji Kim Changick Kim AAML 93 18 0 24 May 2023
QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition Systems Guangke Chen Yedi Zhang Zhe Zhao Fu Song AAML 71 14 0 23 May 2023
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning Minchan Kwon Kangil Kim AAML 36 0 0 23 May 2023
DeepBern-Nets: Taming the Complexity of Certifying Neural Networks using Bernstein Polynomial Activations and Precise Bound Propagation Haitham Khedr Yasser Shoukry 67 5 0 22 May 2023
Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space Bo Zheng DiffM 92 1 0 22 May 2023
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks Simin Li Shuing Zhang Gujun Chen Dong Wang Pu Feng Jiakai Wang Aishan Liu Xin Yi Xianglong Liu AAML 65 18 0 22 May 2023
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining Weifeng Jiang Qianren Mao Chenghua Lin Jianxin Li Ting Deng Weiyi Yang Ziyi Wang 32 3 0 20 May 2023
DAP: A Dynamic Adversarial Patch for Evading Person Detectors Amira Guesmi Ruitian Ding Muhammad Abdullah Hanif Ihsen Alouani Mohamed Bennai AAML 114 28 0 19 May 2023
Testing System Intelligence J. Sifakis 29 3 0 19 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 120 62 0 18 May 2023
Content-based Unrestricted Adversarial Attack Zhaoyu Chen Yue Liu Shuang Wu Kaixun Jiang Shouhong Ding Wenqiang Zhang DiffM 91 70 0 18 May 2023
Noise robust neural network architecture Yunuo Xiong Hongwei Xiong 63 1 0 16 May 2023
Attacking Perceptual Similarity Metrics Abhijay Ghildyal Feng Liu AAML 91 10 0 15 May 2023
Exploiting Frequency Spectrum of Adversarial Images for General Robustness Chun Yang Tan K. Kawamoto Hiroshi Kera AAML OOD 61 1 0 15 May 2023
Improving Defensive Distillation using Teacher Assistant Maniratnam Mandal Suna Gao AAML 13 0 0 14 May 2023
Adversarial Security and Differential Privacy in mmWave Beam Prediction in 6G networks G. S. Krishna Kundrapu Supriya Sanskar Singh S. Baidya AAML 37 0 0 12 May 2023
Inter-frame Accelerate Attack against Video Interpolation Models Junpei Liao Zhikai Chen Liang Yi Wenyuan Yang Baoyuan Wu Xiaochun Cao AAML 97 1 0 11 May 2023
Understanding Noise-Augmented Training for Randomized Smoothing Ambar Pal Jeremias Sulam AAML 67 7 0 08 May 2023
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization Z. Yin Shaowei Zhu Han Su Jianteng Peng Wanli Lyu Bin Luo AAML 60 2 0 08 May 2023
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework Ruijia Wu Yuhang Wang Huafeng Shi Zhipeng Yu Yichao Wu Ding Liang DiffM 67 9 0 06 May 2023
Beyond the Model: Data Pre-processing Attack to Deep Learning Models in Android Apps Ye Sang Yujin Huang Shuo Huang Helei Cui AAML SILM 64 5 0 06 May 2023
Energy-Latency Attacks to On-Device Neural Networks via Sponge Poisoning Zijian Wang Shuo Huang Yu-Jen Huang Helei Cui SILM 34 11 0 06 May 2023
Expectation Maximization Pseudo Labels Moucheng Xu Yukun Zhou Chen Jin M. Groot Daniel C. Alexander N. Oxtoby Yipeng Hu Joseph Jacob 123 3 0 02 May 2023