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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off Futa Waseda Ching-Chun Chang Isao Echizen AAML 145 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 97 7 0 22 Feb 2024
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment Vyas Raina Adian Liusie Mark Gales AAML ELM 101 63 0 21 Feb 2024
A Simple and Yet Fairly Effective Defense for Graph Neural Networks Sofiane Ennadir Yassine Abbahaddou J. Lutzeyer Michalis Vazirgiannis Henrik Bostrom AAML 87 16 0 21 Feb 2024
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning Vasudev Gohil Satwik Patnaik D. Kalathil Jeyavijayan Rajendran AAML 101 4 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
Adversarial Purification and Fine-tuning for Robust UDC Image Restoration Zhenbo Song Zhenyuan Zhang Kaihao Zhang Wenhan Luo Zhaoxin Fan Jianfeng Lu AAML 116 0 0 21 Feb 2024
Flexible Physical Camouflage Generation Based on a Differential Approach Yang Li Wenyi Tan Chenxing Zhao Shuangju Zhou Xinkai Liang Quanbiao Pan AAML 65 6 0 21 Feb 2024
The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative Zhen Tan Chengshuai Zhao Raha Moraffah Yifan Li Yu Kong Tianlong Chen Huan Liu 94 17 0 20 Feb 2024
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems Jinjing Shi Zimeng Xiao Heyuan Shi Yu Jiang Xuelong Li AAML 86 1 0 20 Feb 2024
VGMShield: Mitigating Misuse of Video Generative Models Yan Pang Yang Zhang Yang Zhang Tianhao Wang 130 3 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 119 15 0 20 Feb 2024
Roadmap on Incentive Compatibility for AI Alignment and Governance in Sociotechnical Systems Zhaowei Zhang Fengshuo Bai Mingzhi Wang Haoyang Ye Chengdong Ma Yaodong Yang 77 6 0 20 Feb 2024
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models Christian Schlarmann Naman D. Singh Francesco Croce Matthias Hein VLM AAML 106 50 0 19 Feb 2024
Query-Based Adversarial Prompt Generation Jonathan Hayase Ema Borevkovic Nicholas Carlini Florian Tramèr Milad Nasr AAML SILM 104 32 0 19 Feb 2024
Attacks on Node Attributes in Graph Neural Networks Ying Xu Michael Lanier Anindya Sarkar Yevgeniy Vorobeychik GNN AAML 88 3 0 19 Feb 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training L. Park Jaeuk Kim Myung Gyo Oh Jaewoo Park T.-H. Kwon AAML 138 5 0 19 Feb 2024
Manipulating hidden-Markov-model inferences by corrupting batch data William N. Caballero Jose Manuel Camacho Tahir Ekin Roi Naveiro AAML 63 1 0 19 Feb 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 81 0 0 19 Feb 2024
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization Jiyao Li Mingze Ni Yifei Dong Tianqing Zhu Wei Liu AAML 52 3 0 19 Feb 2024
The Effectiveness of Random Forgetting for Robust Generalization V. Ramkumar Bahram Zonooz Elahe Arani AAML 68 1 0 18 Feb 2024
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks Yichen Wang Shangbin Feng Abe Bohan Hou Xiao Pu Chao Shen Xiaoming Liu Yulia Tsvetkov Tianxing He DeLMO 121 20 0 18 Feb 2024
Evaluating Adversarial Robustness of Low dose CT Recovery Kanchana Vaishnavi Gandikota Paramanand Chandramouli Hannah Dröge Michael Moeller OOD AAML 67 3 0 18 Feb 2024
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models Cuong Dang Dung D. Le Thai Le AAML 80 2 0 18 Feb 2024
Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement Chi Zhang Jingjing Fan Man Ho Au Siu-Ming Yiu 107 1 0 17 Feb 2024
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation Yunjuan Wang Hussein Hazimeh Natalia Ponomareva Alexey Kurakin Ibrahim Hammoud Raman Arora OOD AAML 82 0 0 16 Feb 2024
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models Ziyi Yin Muchao Ye Tianrong Zhang Jiaqi Wang Han Liu Jinghui Chen Ting Wang Fenglong Ma OOD AAML 51 2 0 16 Feb 2024
Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning Tuc Nguyen Thai Le MoMe 95 3 0 16 Feb 2024
Theoretical Understanding of Learning from Adversarial Perturbations Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 96 3 0 16 Feb 2024
Quantum-Inspired Analysis of Neural Network Vulnerabilities: The Role of Conjugate Variables in System Attacks Jun-Jie Zhang Deyu Meng AAML 83 3 0 16 Feb 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images Christopher Hamblin Thomas Fel Srijani Saha Talia Konkle George A. Alvarez FAtt 103 3 0 15 Feb 2024
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts Tobias Enders James Harrison Maximilian Schiffer OOD 99 5 0 15 Feb 2024
Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks Álvaro Huertas-García Alejandro Martín Javier Huertas-Tato David Camacho AAML 73 0 0 15 Feb 2024
Examining Pathological Bias in a Generative Adversarial Network Discriminator: A Case Study on a StyleGAN3 Model Alvin Grissom II Ryan F. Lei Matt Gusdorff Jeova Farias Sales Rocha Neto Bailey Lin Ryan Trotter GAN 91 0 0 15 Feb 2024
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion Edgar Heinert Matthias Rottmann Kira Maag Karsten Kahl 70 6 0 14 Feb 2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions Siddartha Devic Aleksandra Korolova David Kempe Vatsal Sharan 104 6 0 14 Feb 2024
Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models Weiheng Chai Brian Testa Huantao Ren Asif Salekin Senem Velipasalar 42 0 0 14 Feb 2024
Exploring the Adversarial Capabilities of Large Language Models Lukas Struppek Minh Hieu Le Dominik Hintersdorf Kristian Kersting ELM AAML 71 4 0 14 Feb 2024
End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training Keitaro Sakamoto Issei Sato 77 4 0 14 Feb 2024
Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics Wenwei Zhao Xiaowen Li Shangqing Zhao Jie Xu Yao-Hong Liu Zhuo Lu AAML 62 1 0 14 Feb 2024
Is my Data in your AI Model? Membership Inference Test with Application to Face Images Daniel DeAlcala Aythami Morales Julian Fierrez Gonzalo Mancera Ruben Tolosana J. Ortega-Garcia CVBM 124 7 0 14 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 159 49 0 14 Feb 2024
Adversarially Robust Feature Learning for Breast Cancer Diagnosis Degan Hao Dooman Arefan M. Zuley Wendie Berg Shandong Wu OOD MedIm 68 1 0 13 Feb 2024
Enhancing Robustness of Indoor Robotic Navigation with Free-Space Segmentation Models Against Adversarial Attacks Qiyuan An Christos Sevastopoulos F. Makedon 60 1 0 13 Feb 2024
Generating Universal Adversarial Perturbations for Quantum Classifiers Gautham Anil Vishnu Vinod Apurva Narayan AAML 82 5 0 13 Feb 2024
Faster Repeated Evasion Attacks in Tree Ensembles Lorenzo Cascioli Laurens Devos Ondvrej Kuvzelka Jesse Davis AAML 62 0 0 13 Feb 2024
Test-Time Backdoor Attacks on Multimodal Large Language Models Dong Lu Tianyu Pang Chao Du Qian Liu Xianjun Yang Min Lin AAML 167 26 0 13 Feb 2024
Two Tales of Single-Phase Contrastive Hebbian Learning R. Høier Christopher Zach 64 1 0 13 Feb 2024
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast Xiangming Gu Xiaosen Zheng Tianyu Pang Chao Du Qian Liu Ye Wang Jing Jiang Min Lin LLMAG LM&Ro 52 63 0 13 Feb 2024
Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models Shaeke Salman M. Shams Xiuwen Liu Lingjiong Zhu VLM 60 2 0 13 Feb 2024