Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Struggle with Adversarial Defense? Try Diffusion Yujie Li Yanbin Wang Haitao Xu Bin Liu Jianguo Sun Zhenhao Guo Wenrui Ma DiffM 40 1 0 12 Apr 2024
Adversarial purification for no-reference image-quality metrics: applicability study and new methods Aleksandr Gushchin Anna Chistyakova Vladislav Minashkin Anastasia Antsiferova D. Vatolin 51 2 0 10 Apr 2024
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 51 5 0 08 Apr 2024
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems Francesco Marchiori Mauro Conti AAML 29 0 0 06 Apr 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training Shizhan Gong Qi Dou Farzan Farnia FAtt 50 2 0 06 Apr 2024
Goal-guided Generative Prompt Injection Attack on Large Language Models Chong Zhang Mingyu Jin Qinkai Yu Chengzhi Liu Haochen Xue Xiaobo Jin AAML SILM 52 13 0 06 Apr 2024
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner Attacks, And The Role of Distillation as Defense Mechanism Trilokesh Ranjan Sarkar Nilanjan Das Pralay Sankar Maitra Bijoy Some Ritwik Saha Orijita Adhikary Bishal Bose Jaydip Sen AAML 24 0 0 05 Apr 2024
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification Xu Wang Tian Ye Rajgopal Kannan Viktor Prasanna AAML 40 1 0 04 Apr 2024
One Noise to Rule Them All: Multi-View Adversarial Attacks with Universal Perturbation Mehmet Ergezer Phat Duong Christian Green Tommy Nguyen Abdurrahman Zeybey AAML 44 2 0 02 Apr 2024
Evaluating Large Language Models Using Contrast Sets: An Experimental Approach Manish Sanwal 30 5 0 02 Apr 2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions Runhao Zeng Xiaoyong Chen Jiaming Liang Huisi Wu Guangzhong Cao Yong Guo AAML 46 4 0 29 Mar 2024
Genos: General In-Network Unsupervised Intrusion Detection by Rule Extraction Ruoyu Li Qing Li Yu Zhang Dan Zhao Xi Xiao Yong-jia Jiang 45 3 0 28 Mar 2024
Bidirectional Consistency Models Liangchen Li Jiajun He DiffM 72 12 0 26 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei Xu DD AAML 45 5 0 20 Mar 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance Yifei Shen Xinyang Jiang Yezhen Wang Yifan Yang Dongqi Han Dongsheng Li FaML 39 6 0 19 Mar 2024
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation Jiyi Chen Pengyu Li Yutong Wang Pei-Cheng Ku Qing Qu 35 3 0 19 Mar 2024
ADAPT to Robustify Prompt Tuning Vision Transformers Masih Eskandar Tooba Imtiaz Zifeng Wang Jennifer Dy VPVLM VLM AAML 38 0 0 19 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM Linyu Tang Lei Zhang AAML 35 3 0 18 Mar 2024
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples Ziqi Zhou Minghui Li Wei Liu Shengshan Hu Yechao Zhang Wei Wan Lulu Xue Leo Yu Zhang Dezhong Yao Hai Jin SILM AAML 55 9 0 16 Mar 2024
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study Chenguang Wang Ruoxi Jia Xin Liu Dawn Song VLM 29 7 0 15 Mar 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 72 8 0 15 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 48 1 0 15 Mar 2024
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks Roey Bokobza Yisroel Mirsky AAML 38 0 0 14 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 58 0 0 13 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 42 5 0 11 Mar 2024
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification Shuai Li Xiaoguang Ma Shancheng Jiang Lu Meng AAML OOD 35 0 0 11 Mar 2024
epsilon-Mesh Attack: A Surface-based Adversarial Point Cloud Attack for Facial Expression Recognition Batuhan Cengiz Mert Gulsen Y. Sahin Gözde B. Ünal 3DPC AAML 36 0 0 11 Mar 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation Chenxing Gao Hang Zhou Junqing Yu Yuteng Ye Jiale Cai Junle Wang Wei Yang AAML 37 3 0 10 Mar 2024
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape Tiejin Chen Wenwang Huang Linsey Pang Dongsheng Luo Hua Wei OOD 54 0 0 09 Mar 2024
Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples Eda Yilmaz H. Keles AAML 26 2 0 08 Mar 2024
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks Edgar Medina Leyong Loh AAML 37 0 0 07 Mar 2024
A Survey on Human-AI Teaming with Large Pre-Trained Models Vanshika Vats Marzia Binta Nizam Minghao Liu Ziyuan Wang Richard Ho ... Celeste Shen Rachel Shen Nafisa Hussain Kesav Ravichandran James Davis LM&MA 65 8 0 07 Mar 2024
Here Comes The AI Worm: Unleashing Zero-click Worms that Target GenAI-Powered Applications Stav Cohen Ron Bitton Ben Nassi 40 19 0 05 Mar 2024
Adversarial Testing for Visual Grounding via Image-Aware Property Reduction Zhiyuan Chang Mingyang Li Junjie Wang Cheng Li Boyu Wu Fanjiang Xu Qing Wang AAML 41 0 0 02 Mar 2024
Training-set-free two-stage deep learning for spectroscopic data de-noising Dongchen Huang Junde Liu Tian Qian Hongming Weng 36 0 0 29 Feb 2024
Catastrophic Overfitting: A Potential Blessing in Disguise Mengnan Zhao Lihe Zhang Yuqiu Kong Baocai Yin AAML 56 1 0 28 Feb 2024
Understanding the Role of Pathways in a Deep Neural Network Lei Lyu Chen Pang Jihua Wang 47 3 0 28 Feb 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free Bo Yang Hengwei Zhang Jin-dong Wang Yulong Yang Chenhao Lin Chao Shen Zhengyu Zhao SILM AAML 71 2 0 27 Feb 2024
Fast Adversarial Attacks on Language Models In One GPU Minute Vinu Sankar Sadasivan Shoumik Saha Gaurang Sriramanan Priyatham Kattakinda Atoosa Malemir Chegini S. Feizi MIALM 45 35 0 23 Feb 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off Futa Waseda Ching-Chun Chang Isao Echizen AAML 41 0 0 22 Feb 2024
Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion Yichi Zhang Zhuo Chen Lei Liang Hua-zeng Chen Wen Zhang 61 4 0 22 Feb 2024
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning Vasudev Gohil Satwik Patnaik D. Kalathil Jeyavijayan Rajendran AAML 45 3 0 21 Feb 2024
Robustness of Deep Neural Networks for Micro-Doppler Radar Classification Mikolaj Czerkawski C. Clemente C. Michie Christos Tachtatzis OOD AAML 27 3 0 21 Feb 2024
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems Jinjing Shi Zimeng Xiao Heyuan Shi Yu Jiang Xuelong Li AAML 51 2 0 20 Feb 2024
Defending Jailbreak Prompts via In-Context Adversarial Game Yujun Zhou Yufei Han Haomin Zhuang Kehan Guo Zhenwen Liang Hongyan Bao Xiangliang Zhang LLMAG AAML 47 12 0 20 Feb 2024
Manipulating hidden-Markov-model inferences by corrupting batch data William N. Caballero Jose Manuel Camacho Tahir Ekin Roi Naveiro AAML 33 1 0 19 Feb 2024
Theoretical Understanding of Learning from Adversarial Perturbations Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 53 1 0 16 Feb 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space Leo Schwinn David Dobre Sophie Xhonneux Gauthier Gidel Stephan Gunnemann AAML 51 38 0 14 Feb 2024
Tighter Bounds on the Information Bottleneck with Application to Deep Learning Nir Weingarten Z. Yakhini Moshe Butman Ran Gilad-Bachrach AAML 30 1 0 12 Feb 2024