Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 3,864 papers shown

Title
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles Xing Shen Hengguan Huang Brennan Nichyporuk Tal Arbel MedIm 66 4 0 24 Oct 2023
Segue: Side-information Guided Generative Unlearnable Examples for Facial Privacy Protection in Real World Zhiling Zhang Jie Zhang Kui Zhang Wenbo Zhou Weiming Zhang Neng H. Yu 37 1 0 24 Oct 2023
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention Anqi Mao M. Mohri Yutao Zhong 34 23 0 23 Oct 2023
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval Xu Yuan Zheng Zhang Xunguang Wang Lin Wu AAML 42 11 0 23 Oct 2023
Diffusion-Based Adversarial Purification for Speaker Verification Yibo Bai Ju Liu Xuelong Li DiffM 49 2 0 22 Oct 2023
Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Input Minh Nguyen Nancy F. Chen 30 0 0 21 Oct 2023
Toward Stronger Textual Attack Detectors Pierre Colombo Marine Picot Nathan Noiry Guillaume Staerman Pablo Piantanida 75 5 0 21 Oct 2023
Adversarial Image Generation by Spatial Transformation in Perceptual Colorspaces A. Aydin A. Temi̇zel 43 4 0 21 Oct 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 51 0 0 21 Oct 2023
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses Chong Xiang Tong Wu Sihui Dai Jonathan Petit Suman Jana Prateek Mittal 66 3 0 19 Oct 2023
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang Zheng Li Ziqing Yang Xinlei He Michael Backes Mario Fritz Yang Zhang 45 5 0 19 Oct 2023
Adversarial Training for Physics-Informed Neural Networks Yao Li Shengzhu Shi Zhichang Guo Boying Wu AAML PINN 49 0 0 18 Oct 2023
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm S. M. Fazle J. Mondal Meem Arafat Manab Xi Xiao Sarfaraz Newaz AAML 34 0 0 18 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation Taejong Joo Diego Klabjan 66 1 0 16 Oct 2023
A Non-monotonic Smooth Activation Function Koushik Biswas Meghana Karri Ulacs Baugci 16 1 0 16 Oct 2023
Evading Detection Actively: Toward Anti-Forensics against Forgery Localization Long Zhuo Shenghai Luo Shunquan Tan Han Chen Bin Li Jiwu Huang AAML 34 0 0 16 Oct 2023
Black-box Targeted Adversarial Attack on Segment Anything (SAM) Sheng Zheng Chaoning Zhang Xinhong Hao AAML 47 7 0 16 Oct 2023
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework Arshia Soltani Moakhar Mohammad Azizmalayeri Hossein Mirzaei M. T. Manzuri M. Rohban 44 2 0 15 Oct 2023
Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches Linbo Liu T. Hoang Lam M. Nguyen Tsui-Wei Weng AAML 34 0 0 11 Oct 2023
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks Yang Wang B. Dong Ke Xu Haiyin Piao Yufei Ding Baocai Yin Xin Yang AAML 44 3 0 10 Oct 2023
BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models Haoxiang Luo Jian Luo Athanasios V. Vasilakos 42 9 0 10 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization Jiancong Xiao Ruoyu Sun Zhimin Luo AAML 43 6 0 09 Oct 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 60 1 0 06 Oct 2023
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 69 5 0 06 Oct 2023
Ravestate: Distributed Composition of a Causal-Specificity-Guided Interaction Policy Joseph Birkner Andreas Dolp Negin Karimi Nikita Basargin Alona Kharchenko Rafael Hostettler 15 0 0 03 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 47 16 0 01 Oct 2023
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation Vlad Hondru Radu Tudor Ionescu DiffM 69 1 0 29 Sep 2023
On Continuity of Robust and Accurate Classifiers Ramin Barati Reza Safabakhsh Mohammad Rahmati AAML 17 1 0 29 Sep 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 21 11 0 29 Sep 2023
TraCE: Trajectory Counterfactual Explanation Scores Jeffrey N Clark Edward A. Small Nawid Keshtmand Michelle W.L. Wan Elena Fillola Mayoral Enrico Werner Christopher P Bourdeaux Raúl Santos-Rodríguez 47 1 0 27 Sep 2023
Defending Against Physical Adversarial Patch Attacks on Infrared Human Detection Lukas Strack Futa Waseda H. Nguyen Yinqiang Zheng Isao Echizen AAML 37 2 0 27 Sep 2023
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents Foozhan Ataiefard Hadi Hemmati AAML 29 2 0 26 Sep 2023
Improving Machine Learning Robustness via Adversarial Training Long Dang T. Hapuarachchi Kaiqi Xiong Jing Lin OOD AAML 43 2 0 22 Sep 2023
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation Krishna Kanth Nakka Mathieu Salzmann DRL CoGe 37 2 0 20 Sep 2023
Adversarial Attacks Against Uncertainty Quantification Emanuele Ledda Daniele Angioni Giorgio Piras Giorgio Fumera Battista Biggio Fabio Roli AAML 37 2 0 19 Sep 2023
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services Hongsheng Hu Shuo Wang Jiamin Chang Haonan Zhong Ruoxi Sun Shuang Hao Haojin Zhu Minhui Xue MU 28 26 0 15 Sep 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach Guillaume Jeanneret Loïc Simon Frédéric Jurie DiffM 47 12 0 14 Sep 2023
Fuzzy Fingerprinting Transformer Language-Models for Emotion Recognition in Conversations Patrícia Pereira Rui Ribeiro Helena Moniz Luísa Coheur Joao Paulo Carvalho 37 6 0 08 Sep 2023
FIVA: Facial Image and Video Anonymization and Anonymization Defense Felix Rosberg E. Aksoy Cristofer Englund F. Alonso-Fernandez AAML PICV 52 5 0 08 Sep 2023
Certifying LLM Safety against Adversarial Prompting Aounon Kumar Chirag Agarwal Suraj Srinivas Aaron Jiaxun Li Soheil Feizi Himabindu Lakkaraju AAML 32 172 0 06 Sep 2023
Natural Example-Based Explainability: a Survey Antonin Poché Lucas Hervier M. Bakkay XAI 33 12 0 05 Sep 2023
Toward Defensive Letter Design Rentaro Kataoka Akisato Kimura Seiichi Uchida AAML 26 0 0 04 Sep 2023
Open Sesame! Universal Black Box Jailbreaking of Large Language Models Raz Lapid Ron Langberg Moshe Sipper AAML 34 108 0 04 Sep 2023
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection Weijie Wang Zhengyu Zhao N. Sebe Bruno Lepri AAML 45 2 0 03 Sep 2023
Robust Adversarial Defense by Tensor Factorization Manish Bhattarai M. C. Kaymak Ryan Barron Ben Nebgen Kim Ø. Rasmussen Boian Alexandrov AAML 32 2 0 03 Sep 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff Satoshi Suzuki Shin'ya Yamaguchi Shoichiro Takeda Sekitoshi Kanai Naoki Makishima Atsushi Ando Ryo Masumura AAML 57 5 0 31 Aug 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 46 3 0 29 Aug 2023
Can We Rely on AI? D. Higham AAML 48 0 0 29 Aug 2023
The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward A. Titus Adam Russell 66 1 0 28 Aug 2023
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques Sophie A. Neubauer Radu Grosu 27 0 0 23 Aug 2023