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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective Jindong Wang Xixu Hu Wenxin Hou Hao Chen Runkai Zheng ... Weirong Ye Xiubo Geng Binxing Jiao Yue Zhang Xingxu Xie AI4MH 170 241 0 22 Feb 2023
What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel Yao Qin Xuezhi Wang Balaji Lakshminarayanan Ed H. Chi Alex Beutel UQCV 69 5 0 22 Feb 2023
Framework for Certification of AI-Based Systems Maxime Gariel Brian Shimanuki R. Timpe E. Wilson 50 8 0 21 Feb 2023
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks Grigory Khromov Sidak Pal Singh 155 8 0 21 Feb 2023
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 98 10 0 21 Feb 2023
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker Sihui Dai Wen-Luan Ding A. Bhagoji Daniel Cullina Ben Y. Zhao Haitao Zheng Prateek Mittal AAML 77 2 0 21 Feb 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition Jiadi Yao H. Luo Xiao-Lei Zhang AAML 61 2 0 21 Feb 2023
Generalization Bounds for Adversarial Contrastive Learning Xin Zou Weiwei Liu AAML 66 11 0 21 Feb 2023
Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations Zhenxiao Cheng Jie Zhou Wen Wu Qin Chen Liang He 79 3 0 21 Feb 2023
Model-based feature selection for neural networks: A mixed-integer programming approach Shudian Zhao Calvin Tsay Jan Kronqvist 85 5 0 20 Feb 2023
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models Vivian Lin Kuk Jin Jang Souradeep Dutta Michele Caprio O. Sokolsky Insup Lee OOD 84 6 0 20 Feb 2023
Variation Enhanced Attacks Against RRAM-based Neuromorphic Computing System Hao Lv Bing Li Lefei Zhang Cheng Liu Ying Wang AAML 34 3 0 20 Feb 2023
Stationary Point Losses for Robust Model Weiwei Gao Dazhi Zhang Yao Li Zhichang Guo Ovanes Petrosian OOD 102 0 0 19 Feb 2023
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection Aishan Liu Jun Guo Jiakai Wang Siyuan Liang Renshuai Tao Wenbo Zhou Cong Liu Xianglong Liu Dacheng Tao AAML 107 66 0 19 Feb 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Yue Liu Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 84 38 0 19 Feb 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification Omid Nejati Manzari Hamid Ahmadabadi Hossein Kashiani S. B. Shokouhi Ahmad Ayatollahi ViT MedIm 123 204 0 19 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 112 23 0 19 Feb 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Yugang Jiang 78 38 0 18 Feb 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition Luke E. Richards Edward Raff Cynthia Matuszek AAML 102 2 0 17 Feb 2023
Revisiting adversarial training for the worst-performing class Thomas Pethick Grigorios G. Chrysos Volkan Cevher 70 7 0 17 Feb 2023
Adversarial Contrastive Distillation with Adaptive Denoising Yuzheng Wang Zhaoyu Chen Dingkang Yang Yang Liu Siao Liu Wenqiang Zhang Lizhe Qi 97 22 0 17 Feb 2023
A Novel Noise Injection-based Training Scheme for Better Model Robustness Zeliang Zhang Jinyang Jiang Minjie Chen Zhiyuan Wang Yijie Peng Zhaofei Yu 63 3 0 17 Feb 2023
On the Effect of Adversarial Training Against Invariance-based Adversarial Examples Roland Rauter Martin Nocker F. Merkle Pascal Schöttle AAML 35 2 0 16 Feb 2023
Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech Recognition Minsu Kim Hyungil Kim Y. Ro VLM 69 19 0 16 Feb 2023
Masking and Mixing Adversarial Training Hiroki Adachi Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi Yasunori Ishii Kazuki Kozuka AAML 21 1 0 16 Feb 2023
AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce Sudip Mittal Jingdao Chen SILM 50 1 0 15 Feb 2023
Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility William Paul P. Mathew F. Alajaji Philippe Burlina 38 2 0 15 Feb 2023
XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural Architectures for Non-ideal Xbars Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda AAML 74 1 0 15 Feb 2023
On the Role of Randomization in Adversarially Robust Classification Lucas Gnecco-Heredia Y. Chevaleyre Benjamin Négrevergne Laurent Meunier Muni Sreenivas Pydi AAML 63 5 0 14 Feb 2023
Enhancing Model Performance in Multilingual Information Retrieval with Comprehensive Data Engineering Techniques Qi Zhang Zijian Yang Yi-Li Huang Ze Chen Zijian Cai Kangxu Wang Jiewen Zheng Jiarong He Jin Gao LRM VLM 61 1 0 14 Feb 2023
Regret-Based Defense in Adversarial Reinforcement Learning Roman Belaire Pradeep Varakantham Thanh Nguyen David Lo AAML 49 3 0 14 Feb 2023
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Jiangning Zhang Yabiao Wang Chengjie Wang C. Zhao AAML NoLa 82 16 0 14 Feb 2023
Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions Henrik Voigt J. Hombeck M. Meuschke K. Lawonn Sina Zarrieß VLM 92 1 0 13 Feb 2023
Learning from Noisy Crowd Labels with Logics Zhijun Chen Hailong Sun Haoqian He Pengpeng Chen NoLa NAI 87 7 0 13 Feb 2023
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects Linyi Li Yuhao Zhang Luyao Ren Yingfei Xiong Tao Xie 63 9 0 13 Feb 2023
Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images Xuxiang Sun Gong Cheng Lei Pei Hongda Li Junwei Han AAML 55 38 0 13 Feb 2023
TextDefense: Adversarial Text Detection based on Word Importance Entropy Lujia Shen Xuhong Zhang S. Ji Yuwen Pu Chunpeng Ge Xing Yang Yanghe Feng AAML 59 8 0 12 Feb 2023
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks Mohit Prabhushankar Ghassan Al-Regib 51 3 0 11 Feb 2023
Evaluating the Robustness of Discrete Prompts Yoichi Ishibashi Danushka Bollegala Katsuhito Sudoh Satoshi Nakamura 65 19 0 11 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 125 37 0 10 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min Lin Weiwei Liu Shuicheng Yan DiffM 106 228 0 09 Feb 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples Chumeng Liang Xiaoyu Wu Yang Hua Jiaru Zhang Yiming Xue Tao Song Zhengui Xue Ruhui Ma Haibing Guan DiffM WIGM 64 132 0 09 Feb 2023
IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness Xiaoyun Xu Guilherme Perin S. Picek AAML 89 1 0 09 Feb 2023
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples Andrew C. Cullen Shijie Liu Paul Montague S. Erfani Benjamin I. P. Rubinstein AAML 92 3 0 09 Feb 2023
Disentangling Learning Representations with Density Estimation Eric C. Yeats Frank Liu Hai Helen Li BDL DRL CML 111 2 0 08 Feb 2023
Black Box Adversarial Prompting for Foundation Models Natalie Maus Patrick Chao Eric Wong Jacob R. Gardner VLM 85 60 0 08 Feb 2023
Training-free Lexical Backdoor Attacks on Language Models Yujin Huang Terry Yue Zhuo Xingliang Yuan Han Hu Lizhen Qu Chunyang Chen SILM 97 46 0 08 Feb 2023
WAT: Improve the Worst-class Robustness in Adversarial Training Boqi Li Weiwei Liu OOD AAML 65 26 0 08 Feb 2023
On Function-Coupled Watermarks for Deep Neural Networks Xiangyu Wen Yu Li Weizhen Jiang Qian-Lan Xu AAML 87 1 0 08 Feb 2023
Geometric Perception based Efficient Text Recognition P.N.Deelaka D.R.Jayakodi D.Y.Silva 43 3 0 08 Feb 2023