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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Explaining Black-Box Models through Counterfactuals Patrick Altmeyer A. V. Deursen Cynthia C. S. Liem CML LRM 72 2 0 14 Aug 2023
Survey on video anomaly detection in dynamic scenes with moving cameras Runyu Jiao Yi Wan Fabio Poiesi Yiming Wang 106 11 0 14 Aug 2023
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning Ziqi Zhou Shengshan Hu Minghui Li Hangtao Zhang Yechao Zhang Hai Jin AAML 129 75 0 14 Aug 2023
Robustified ANNs Reveal Wormholes Between Human Category Percepts Guy Gaziv Michael J. Lee J. DiCarlo AAML 75 7 0 14 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
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods A. Ma Yangchen Pan Amir-massoud Farahmand AAML 70 7 0 13 Aug 2023
On the Interplay of Convolutional Padding and Adversarial Robustness Paul Gavrikov J. Keuper AAML 90 3 0 12 Aug 2023
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training Jianshuo Dong Han Qiu Yiming Li Tianwei Zhang Yuan-Fang Li Zeqi Lai Chao Zhang Shutao Xia AAML 71 14 0 12 Aug 2023
Not So Robust After All: Evaluating the Robustness of Deep Neural Networks to Unseen Adversarial Attacks R. Garaev Bader Rasheed Adil Mehmood Khan AAML OOD 38 2 0 12 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 125 23 0 11 Aug 2023
Diffusion-based Visual Counterfactual Explanations -- Towards Systematic Quantitative Evaluation Philipp Vaeth Alexander M. Fruehwald Benjamin Paassen Magda Gregorova DiffM 52 4 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
Face Encryption via Frequency-Restricted Identity-Agnostic Attacks Xinjie Dong Rui Wang Siyuan Liang Aishan Liu Lihua Jing AAML PICV 91 9 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
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks Blerta Lindqvist AAML 75 0 0 10 Aug 2023
Generating Transferable and Stealthy Adversarial Patch via Attention-guided Adversarial Inpainting Yanjie Li Mingxing Duan Xuelong Dai Bin Xiao AAML 71 0 0 10 Aug 2023
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning Simon Queyrut Yérom-David Bromberg V. Schiavoni FedML AAML 81 1 0 08 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
MSAC: Multiple Speech Attribute Control Method for Reliable Speech Emotion Recognition Yu Pan Yuguang Yang Yuheng Huang Jixun Yao Jingjing Yin Yanni Hu Heng Lu Lei Ma Jianjun Zhao 96 6 0 08 Aug 2023
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection Mohammed Lansari Reda Bellafqira K. Kapusta V. Thouvenot Olivier Bettan Gouenou Coatrieux FedML 71 21 0 07 Aug 2023
Exploring the Physical World Adversarial Robustness of Vehicle Detection Wei Jiang Tianyuan Zhang Shuang Liu Weiyu Ji Zichao Zhang Gang Xiao AAML 56 6 0 07 Aug 2023
A reading survey on adversarial machine learning: Adversarial attacks and their understanding Shashank Kotyan AAML 71 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 44 2 0 07 Aug 2023
Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection Shuang Ao Stefan Rueger Advaith Siddharthan 73 3 0 06 Aug 2023
CGBA: Curvature-aware Geometric Black-box Attack Md. Farhamdur Reza A. Rahmati Tianfu Wu H. Dai AAML 83 20 0 06 Aug 2023
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation Amira Guesmi Muhammad Abdullah Hanif B. Ouni Mohamed Bennai MDE 82 13 0 06 Aug 2023
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability Bin Chen Jia-Li Yin Shukai Chen Bo-Hao Chen Ximeng Liu AAML 114 45 0 05 Aug 2023
Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition Yueyun Shang Li Dong Jiahao Chen Diqun Yan Rangding Wang Dengpan Ye Lingchen Zhao Jinyu Tian 49 1 0 04 Aug 2023
$Multi-attacks: Many images $+$ the same adversarial attack $\to$ many target labels$ Multi-attacks: Many images $+$ the same adversarial attack $\to$ many target labels Stanislav Fort AAML 44 1 0 04 Aug 2023
RobustMQ: Benchmarking Robustness of Quantized Models Yisong Xiao Aishan Liu Tianyuan Zhang Haotong Qin Jinyang Guo Xianglong Liu MQ 83 18 0 04 Aug 2023
Frustratingly Easy Model Generalization by Dummy Risk Minimization Juncheng Wang Jindong Wang Xixu Hu Shujun Wang Xingxu Xie 58 2 0 04 Aug 2023
Likelihood-ratio-based confidence intervals for neural networks Laurens Sluijterman Eric Cator Tom Heskes UQCV 65 0 0 04 Aug 2023
FROD: Robust Object Detection for Free Muhammad Awais Awais Weiming Zhuang Zhuang Lingjuan Lingjuan Lyu Sung-Ho Sung-Ho Bae ObjD 89 1 0 03 Aug 2023
URET: Universal Robustness Evaluation Toolkit (for Evasion) Kevin Eykholt Taesung Lee D. Schales Jiyong Jang Ian Molloy Masha Zorin AAML 127 7 0 03 Aug 2023
Hard Adversarial Example Mining for Improving Robust Fairness Chenhao Lin Xiang Ji Yulong Yang Q. Li Chao Shen Run Wang Liming Fang AAML 54 2 0 03 Aug 2023
Feature Noise Boosts DNN Generalization under Label Noise Lu Zeng Xuan Chen Xiaoshuang Shi Jikang Cheng MLT NoLa 58 2 0 03 Aug 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception Jiyoung Lee Seung Wook Kim Seunghyun Won Joonseok Lee Marzyeh Ghassemi James Thorne Jaeseok Choi O.-Kil Kwon Edward Choi 124 1 0 03 Aug 2023
Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator Xi-ai Yan Xiaoxuan Lou Guowen Xu Han Qiu Shangwei Guo Chip Hong Chang Tianwei Zhang AAML 34 7 0 02 Aug 2023
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks Jun Guo Aishan Liu Xingyu Zheng Siyuan Liang Yisong Xiao Yichao Wu Xianglong Liu AAML 88 13 0 02 Aug 2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning Yihua Zhang Prashant Khanduri Ioannis C. Tsaknakis Yuguang Yao Min-Fong Hong Sijia Liu AI4CE 129 31 0 01 Aug 2023
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning Kaijie Zhu Jindong Wang Xixu Hu Xingxu Xie G. Yang AAML 74 25 0 01 Aug 2023
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness Ruoxi Qin Linyuan Wang Xuehui Du Xing-yuan Chen Binghai Yan AAML 113 1 0 01 Aug 2023
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches Pia Hanfeld Khaled Wahba Marina M.-C. Höhne Michael Bussmann Wolfgang Hönig AAML 85 0 0 01 Aug 2023
Zero-Shot Learning by Harnessing Adversarial Samples Zhi Chen P. Zhang Jingjing Li Sen Wang Zi Huang VLM 94 20 0 01 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 100 2 0 01 Aug 2023
A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation Minghao Chen Ze-Feng Gao Shuai Zhao Qibo Qiu Wenxiao Wang Binbin Lin Xiaofei He 54 1 0 01 Aug 2023
Formally Explaining Neural Networks within Reactive Systems Shahaf Bassan Guy Amir Davide Corsi Idan Refaeli Guy Katz AAML 113 17 0 31 Jul 2023
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks Khushnaseeb Roshan Aasim Zafar Shiekh Burhan Ul Haque AAML 75 10 0 31 Jul 2023
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models Weikang Yu Yonghao Xu Pedram Ghamisi 108 4 0 31 Jul 2023
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook Mingyuan Fan Chengyu Wang Cen Chen Yang Liu Jun Huang HILM 96 3 0 31 Jul 2023