Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection Vincenzo De Rosa Fabrizio Guillaro Giovanni Poggi D. Cozzolino L. Verdoliva AAML 70 6 0 28 Jul 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 47 1 0 26 Jul 2024
Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features Romeo Valentin Sydney M. Katz Joonghyun Lee Don Walker Matthew Sorgenfrei Mykel J. Kochenderfer 36 0 0 23 Jul 2024
Physics-Informed Weakly Supervised Learning for Interatomic Potentials Makoto Takamoto Viktor Zaverkin Mathias Niepert AI4CE 68 0 0 23 Jul 2024
Feature Inference Attack on Shapley Values Xinjian Luo Yangfan Jiang X. Xiao AAML FAtt 46 19 0 16 Jul 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition Xiao-Li Li Yining Liu Na Dong Sitian Qin Xiaolin Hu 41 3 0 15 Jul 2024
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding Mang Ning A. A. Salah Itir Onal Ertugrul CVBM 87 4 0 15 Jul 2024
SUMix: Mixup with Semantic and Uncertain Information Huafeng Qin Xin Jin Hongyu Zhu Hongchao Liao M. El-Yacoubi Xinbo Gao UQCV 53 6 0 10 Jul 2024
A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification Lu Zhang S. Lambotharan G. Zheng G. Liao Ambra Demontis Fabio Roli AAML 26 10 0 09 Jul 2024
Self-Supervised Representation Learning for Adversarial Attack Detection Yi Li Plamen Angelov N. Suri SSL AAML 35 3 0 05 Jul 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness Kejia Zhang Juanjuan Weng Yuanzheng Cai Zhiming Luo Shaozi Li AAML 72 0 0 04 Jul 2024
$L_p$ -norm Distortion-Efficient Adversarial Attack Chao Zhou Yuan-Gen Wang Zi-Jia Wang Xiangui Kang 37 0 0 03 Jul 2024
Backdoor Graph Condensation Jiahao Wu Ning Lu Zeiyu Dai Kun Wang Wenqi Fan Shengcai Liu Qing Li Ke Tang AAML DD 76 6 0 03 Jul 2024
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing Meiyu Zhong Ravi Tandon 44 3 0 03 Jul 2024
DeepiSign-G: Generic Watermark to Stamp Hidden DNN Parameters for Self-contained Tracking A. Abuadbba Nicholas Rhodes Kristen Moore Bushra Sabir Shuo Wang Yansong Gao AAML 37 2 0 01 Jul 2024
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization Hongjun Choi Jayaraman J. Thiagarajan Ruben Glatt Shusen Liu 51 0 0 29 Jun 2024
A Survey on Failure Analysis and Fault Injection in AI Systems Guangba Yu Gou Tan Haojia Huang Zhenyu Zhang Pengfei Chen Roberto Natella Zibin Zheng 54 4 0 28 Jun 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 42 0 0 26 Jun 2024
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness Vaclav Voracek AAML 46 1 0 25 Jun 2024
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification Joshua Niemeijer J. Ehrhardt H. Uzunova Heinz Handels OOD DiffM MedIm 36 0 0 25 Jun 2024
Improving robustness to corruptions with multiplicative weight perturbations Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski 46 0 0 24 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 78 1 0 21 Jun 2024
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference Anton Xue Avishree Khare Rajeev Alur Surbhi Goel Eric Wong 61 2 0 21 Jun 2024
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization Zhaozhe Hu Jia-Li Yin Bin Chen Luojun Lin Bo-Hao Chen Ximeng Liu AAML 33 0 0 20 Jun 2024
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving Yang Lou Yi Zhu Qun Song Rui Tan Chunming Qiao Wei-Bin Lee Jianping Wang AAML 44 2 0 17 Jun 2024
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness Kejia Zhang Juanjuan Weng Junwei Wu Guoqing Yang Shaozi Li Zhiming Luo AAML 51 1 0 17 Jun 2024
Obfuscating IoT Device Scanning Activity via Adversarial Example Generation Haocong Li Yaxin Zhang Long Cheng Wenjia Niu Haining Wang Qiang Li AAML 43 0 0 17 Jun 2024
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness Maayan Ehrenberg Roy Ganz Nir Rosenfeld AAML 56 0 0 17 Jun 2024
Improving Adversarial Robustness via Decoupled Visual Representation Masking Decheng Liu Tao Chen Chunlei Peng Nannan Wang Ruimin Hu Xinbo Gao AAML 53 1 0 16 Jun 2024
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks Matthias König Xiyue Zhang Holger H. Hoos Marta Kwiatkowska Jan N. van Rijn AAML 47 1 0 14 Jun 2024
Genetic Column Generation for Computing Lower Bounds for Adversarial Classification Maximilian Penka 48 0 0 12 Jun 2024
Adversarial Patch for 3D Local Feature Extractor Yu Wen Pao Li Chang Lai Hong-Yi Lin AAML 27 0 0 12 Jun 2024
Adversarial Evasion Attack Efficiency against Large Language Models João Vitorino Eva Maia Isabel Praça AAML 43 2 0 12 Jun 2024
Erasing Radio Frequency Fingerprints via Active Adversarial Perturbation Zhaoyi Lu Wenchao Xu Ming Tu Xin Xie Cunqing Hua Nan Cheng 59 1 0 11 Jun 2024
AudioMarkBench: Benchmarking Robustness of Audio Watermarking Hongbin Liu Moyang Guo Zhengyuan Jiang Lun Wang Neil Zhenqiang Gong 41 6 0 11 Jun 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models Hao Fang Jiawei Kong Wenbo Yu Bin Chen Jiawei Li Hao Wu Ke Xu Ke Xu AAML VLM 40 13 0 08 Jun 2024
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition Junru Zhang Lang Feng Zhidan Liu Yuhan Wu Yang He Yabo Dong Duanqing Xu 32 1 0 07 Jun 2024
CTBENCH: A Library and Benchmark for Certified Training Yuhao Mao Stefan Balauca Martin Vechev OOD 47 5 0 07 Jun 2024
Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation Shojiro Yamabe Kazuto Fukuchi Jun Sakuma AAML 65 0 0 06 Jun 2024
Defending Large Language Models Against Attacks With Residual Stream Activation Analysis Amelia Kawasaki Andrew Davis Houssam Abbas AAML KELM 32 2 0 05 Jun 2024
HOLMES: to Detect Adversarial Examples with Multiple Detectors Jing Wen AAML 43 0 0 30 May 2024
Evaluating the Effectiveness and Robustness of Visual Similarity-based Phishing Detection Models Fujiao Ji Kiho Lee Hyungjoon Koo Wenhao You Euijin Choo Hyoungshick Kim Doowon Kim AAML 44 1 0 30 May 2024
Verifiably Robust Conformal Prediction Linus Jeary Tom Kuipers Mehran Hosseini Nicola Paoletti AAML 19 3 0 29 May 2024
Wavelet-Based Image Tokenizer for Vision Transformers Zhenhai Zhu Radu Soricut ViT 54 3 0 28 May 2024
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks Seonghyeon Hwang Minsu Kim Steven Euijong Whang NoLa 46 2 0 28 May 2024
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks Zhenxing Niu Yuyao Sun Qiguang Miao Rong Jin Gang Hua AAML 46 6 0 28 May 2024
PeerFL: A Simulator for Peer-to-Peer Federated Learning at Scale Alka Luqman Shivanshu Shekhar Anupam Chattopadhyay FedML 40 0 0 28 May 2024
Spectral regularization for adversarially-robust representation learning Sheng Yang Jacob A. Zavatone-Veth Cengiz Pehlevan AAML OOD 51 0 0 27 May 2024
OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng Jaechul Roh Subhransu Maji Amir Houmansadr 44 0 0 27 May 2024
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models Fengfan Zhou Qianyu Zhou Hefei Ling Xuequan Lu AAML 50 3 0 27 May 2024