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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Input Minh Nguyen Nancy F. Chen 79 0 0 21 Oct 2023
Toward Stronger Textual Attack Detectors Pierre Colombo Marine Picot Nathan Noiry Guillaume Staerman Pablo Piantanida 568 5 0 21 Oct 2023
Adversarial Image Generation by Spatial Transformation in Perceptual Colorspaces A. Aydin A. Temi̇zel 63 4 0 21 Oct 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 92 0 0 21 Oct 2023
A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains Minkyu Choi Kuan Han Xiaokai Wang Yizhen Zhang Zhongming Liu 72 14 0 20 Oct 2023
An LLM can Fool Itself: A Prompt-Based Adversarial Attack Xilie Xu Keyi Kong Ning Liu Li-zhen Cui Di Wang Jingfeng Zhang Mohan Kankanhalli AAML SILM 132 88 0 20 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 122 6 0 19 Oct 2023
Enhancing Open-World Bacterial Raman Spectra Identification by Feature Regularization for Improved Resilience against Unknown Classes Y. Balytskyi Nataliia Kalashnyk Inna Hubenko A. Balytska Kelly L McNear AAML 58 2 0 19 Oct 2023
Learn from the Past: A Proxy Guided Adversarial Defense Framework with Self Distillation Regularization Yaohua Liu Jiaxin Gao Xianghao Jiao Zhu Liu Xin-Yue Fan Risheng Liu AAML 106 0 0 19 Oct 2023
Generating Robust Adversarial Examples against Online Social Networks (OSNs) Jun Liu Jiantao Zhou Haiwei Wu Weiwei Sun Jinyu Tian AAML 83 5 0 19 Oct 2023
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples Jun Liu Jiantao Zhou Jinyu Tian Weiwei Sun PICV 60 6 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 106 6 0 19 Oct 2023
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks Xiaodong Yu Hao Cheng Xiaodong Liu Dan Roth Jianfeng Gao HILM AAML 88 19 0 19 Oct 2023
REVAMP: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes Matthew Hull Zijie J. Wang Duen Horng Chau AAML 70 2 0 18 Oct 2023
Exploring Decision-based Black-box Attacks on Face Forgery Detection Zhaoyu Chen Yue Liu Kaixun Jiang Shuang Wu Shouhong Ding Wenqiang Zhang AAML CVBM 134 1 0 18 Oct 2023
Malicious Agent Detection for Robust Multi-Agent Collaborative Perception Yangheng Zhao Zhen Xiang Sheng Yin Xianghe Pang Siheng Chen Yanfeng Wang AAML 98 6 0 18 Oct 2023
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks Yue Cao Tianlin Li Xiaofeng Cao Ivor Tsang Yang Liu Qing Guo AAML 66 2 0 18 Oct 2023
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now Yimeng Zhang Jinghan Jia Xin Chen Aochuan Chen Yihua Zhang Jiancheng Liu Ke Ding Sijia Liu DiffM 187 101 0 18 Oct 2023
Adversarial Training for Physics-Informed Neural Networks Yao Li Shengzhu Shi Zhichang Guo Boying Wu AAML PINN 84 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 149 0 0 18 Oct 2023
The Efficacy of Transformer-based Adversarial Attacks in Security Domains Kunyang Li Kyle Domico Jean-Charles Noirot Ferrand Patrick McDaniel AAML 59 0 0 17 Oct 2023
Sensitivity-Aware Amortized Bayesian Inference Lasse Elsemüller Hans Olischläger Marvin Schmitt Paul-Christian Bürkner Ullrich Kothe Stefan T. Radev 126 9 0 17 Oct 2023
Regularization properties of adversarially-trained linear regression Antônio H. Ribeiro Dave Zachariah Francis Bach Thomas B. Schön AAML 81 11 0 16 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation Taejong Joo Diego Klabjan 125 1 0 16 Oct 2023
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier Jerry Zhi-Yang He Zackory M. Erickson Daniel S. Brown Anca Dragan AAML 83 0 0 16 Oct 2023
RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets Zhicheng Cai Xiaohan Ding Qiu Shen Xun Cao 67 20 0 16 Oct 2023
DANAA: Towards transferable attacks with double adversarial neuron attribution Zhibo Jin Zhiyu Zhu Xinyi Wang Jiayu Zhang Jun Shen Huaming Chen AAML 66 10 0 16 Oct 2023
A Non-monotonic Smooth Activation Function Koushik Biswas Meghana Karri Ulacs Baugci 52 2 0 16 Oct 2023
Federated Learning with Convex Global and Local Constraints Chuan He Le Peng Ju Sun FedML 82 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 65 0 0 16 Oct 2023
Black-box Targeted Adversarial Attack on Segment Anything (SAM) Sheng Zheng Chaoning Zhang Xinhong Hao AAML 122 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 84 2 0 15 Oct 2023
Towards Deep Learning Models Resistant to Transfer-based Adversarial Attacks via Data-centric Robust Learning Yulong Yang Chenhao Lin Xiang Ji Qiwei Tian Qian Li Hongshan Yang Zhibo Wang Chao Shen 72 7 0 15 Oct 2023
AFLOW: Developing Adversarial Examples under Extremely Noise-limited Settings Renyang Liu Jinhong Zhang Haoran Li Jin Zhang Yuanyu Wang Wei Zhou AAML 66 3 0 15 Oct 2023
Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks Ziqiang Li Pengfei Xia Hong Sun Yueqi Zeng Wei Zhang Bin Li AAML 87 10 0 15 Oct 2023
Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction Yufei Huang Siyuan Li Jin Su Lirong Wu Odin Zhang ... Zihan Liu Zhangyang Gao Yuyang Liu Jiangbin Zheng Stan. ZQ. Li 3DV 119 14 0 14 Oct 2023
$Is Certifying $\ell_p$ Robustness Still Worthwhile?$ Is Certifying $\ell_p$ Robustness Still Worthwhile? Ravi Mangal Klas Leino Zifan Wang Kai Hu Weicheng Yu Corina S. Pasareanu Anupam Datta Matt Fredrikson AAML OOD 86 1 0 13 Oct 2023
PerturbScore: Connecting Discrete and Continuous Perturbations in NLP Linyang Li Ke Ren Yunfan Shao Pengyu Wang Xipeng Qiu 69 6 0 13 Oct 2023
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities Subash Neupane Shaswata Mitra Ivan A. Fernandez Swayamjit Saha Sudip Mittal Jingdao Chen Nisha Pillai Shahram Rahimi 66 12 0 12 Oct 2023
Jailbreaking Black Box Large Language Models in Twenty Queries Patrick Chao Alexander Robey Yan Sun Hamed Hassani George J. Pappas Eric Wong AAML 194 712 0 12 Oct 2023
Concealed Electronic Countermeasures of Radar Signal with Adversarial Examples Ruinan Ma Canjie Zhu Mingfeng Lu Yunjie Li Yu-an Tan Ruibin Zhang Ran Tao AAML 31 1 0 12 Oct 2023
Invisible Threats: Backdoor Attack in OCR Systems Mauro Conti Nicola Farronato Stefanos Koffas Luca Pajola S. Picek 82 1 0 12 Oct 2023
Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks Giorgio Piras Maura Pintor Ambra Demontis Battista Biggio AAML 57 1 0 12 Oct 2023
Effects of Human Adversarial and Affable Samples on BERT Generalization Aparna Elangovan Jiayuan He Yuan Li Karin Verspoor 108 3 0 12 Oct 2023
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing Yuan Xin Dingfan Chen Michael Backes Xiao Zhang AAML 72 0 0 12 Oct 2023
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research Thomas Decker Ralf Gross Alexander Koebler Michael Lebacher Ronald Schnitzer Stefan H. Weber 80 2 0 11 Oct 2023
Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches Linbo Liu T. Hoang Lam M. Nguyen Tsui-Wei Weng AAML 48 0 0 11 Oct 2023
Impact of Label Types on Training SWIN Models with Overhead Imagery Ryan Ford Kenneth Hutchison Nicholas Felts Benjamin Cheng Jesse Lew Kyle Jackson 70 0 0 11 Oct 2023
Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models Renyang Liu Wei Zhou Tianwei Zhang Kangjie Chen Jun Zhao Kwok-Yan Lam 57 11 0 11 Oct 2023
Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE Marius Arvinte Cory Cornelius Jason Martin N. Himayat DiffM 86 4 0 10 Oct 2023