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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior Shuyu Cheng Yibo Miao Yinpeng Dong Xiao Yang Xiao-Shan Gao Jun Zhu AAML 107 5 0 29 May 2024
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning Dipam Goswami Albin Soutif--Cormerais Yuyang Liu Sandesh Kamath Bartlomiej Twardowski Joost van de Weijer AAML 81 19 0 29 May 2024
Verifiably Robust Conformal Prediction Linus Jeary Tom Kuipers Mehran Hosseini Nicola Paoletti AAML 96 6 0 29 May 2024
EntProp: High Entropy Propagation for Improving Accuracy and Robustness Shohei Enomoto AAML 114 1 0 29 May 2024
Wavelet-Based Image Tokenizer for Vision Transformers Zhenhai Zhu Radu Soricut ViT 109 5 0 28 May 2024
Is machine learning good or bad for the natural sciences? David W. Hogg Soledad Villar AI4CE 111 8 0 28 May 2024
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks Seonghyeon Hwang Minsu Kim Steven Euijong Whang NoLa 97 3 0 28 May 2024
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks Zhenxing Niu Yuyao Sun Qiguang Miao Rong Jin Gang Hua AAML 78 7 0 28 May 2024
White-box Multimodal Jailbreaks Against Large Vision-Language Models Ruofan Wang Xingjun Ma Hanxu Zhou Chuanjun Ji Guangnan Ye Yu-Gang Jiang AAML VLM 84 24 0 28 May 2024
PeerFL: A Simulator for Peer-to-Peer Federated Learning at Scale Alka Luqman Shivanshu Shekhar Anupam Chattopadhyay FedML 80 0 0 28 May 2024
Cross-Modal Safety Alignment: Is textual unlearning all you need? Trishna Chakraborty Erfan Shayegani Zikui Cai Nael B. Abu-Ghazaleh M. Salman Asif Yue Dong Amit K. Roy-Chowdhury Chengyu Song 92 18 0 27 May 2024
Spectral regularization for adversarially-robust representation learning Sheng Yang Jacob A. Zavatone-Veth Cengiz Pehlevan AAML OOD 117 0 0 27 May 2024
Sok: Comprehensive Security Overview, Challenges, and Future Directions of Voice-Controlled Systems Haozhe Xu Cong Wu Yangyang Gu Xingcan Shang Jing Chen Kun He Ruiying Du 140 3 0 27 May 2024
OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng Jaechul Roh Subhransu Maji Amir Houmansadr 112 2 0 27 May 2024
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving Shaoyuan Xie Lingdong Kong Wenwei Zhang Jiawei Ren Liang Pan Kai-xiang Chen Ziwei Liu AAML 100 12 0 27 May 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Nils Philipp Walter Linara Adilova Jilles Vreeken Michael Kamp AAML 115 2 0 27 May 2024
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models Fengfan Zhou Qianyu Zhou Hefei Ling Xuequan Lu AAML 129 3 0 27 May 2024
R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model Changhoon Kim Kyle Min Yezhou Yang 91 25 0 25 May 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency Runqi Lin Chaojian Yu Bo Han Hang Su Tongliang Liu AAML 128 4 0 25 May 2024
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination Shelly Golan Roy Ganz Michael Elad 65 0 0 25 May 2024
Enhancing Adversarial Transferability Through Neighborhood Conditional Sampling Chunlin Qiu Yiheng Duan Lingchen Zhao Qian Wang AAML 100 3 0 25 May 2024
Uncertainty Measurement of Deep Learning System based on the Convex Hull of Training Sets Hyekyoung Hwang Jitae Shin AAML UQCV 72 0 0 25 May 2024
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness Jieren Deng Hanbin Hong A. Palmer Xin Zhou Jinbo Bi Kaleel Mahmood Yuan Hong Derek Aguiar AAML 69 0 0 25 May 2024
Robust width: A lightweight and certifiable adversarial defense Jonathan Peck Bart Goossens AAML 80 2 0 24 May 2024
Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction Ramya Ramalingam Sangdon Park Osbert Bastani 76 3 0 24 May 2024
Efficient Adversarial Training in LLMs with Continuous Attacks Sophie Xhonneux Alessandro Sordoni Stephan Günnemann Gauthier Gidel Leo Schwinn AAML 151 56 0 24 May 2024
Adversarial Attacks on Hidden Tasks in Multi-Task Learning Yu Zhe Rei Nagaike Daiki Nishiyama Kazuto Fukuchi Jun Sakuma AAML 84 0 0 24 May 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models Yimeng Zhang Xin Chen Jinghan Jia Yihua Zhang Chongyu Fan Jiancheng Liu Mingyi Hong Ke Ding Sijia Liu DiffM 131 68 0 24 May 2024
Generating camera failures as a class of physics-based adversarial examples Manav Prabhakar Jwalandhar Girnar Arpan Kusari AAML GAN 59 0 0 23 May 2024
Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution Zakariya Chaouai Mohamed Tamaazousti AAML 65 3 0 23 May 2024
How Does Bayes Error Limit Probabilistic Robust Accuracy Ruihan Zhang Jun Sun AAML 88 1 0 23 May 2024
Explaining Multi-modal Large Language Models by Analyzing their Vision Perception Loris Giulivi Giacomo Boracchi 75 3 0 23 May 2024
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds Hanwei Zhang Luo Cheng Qisong He Wei Huang Renjue Li R. Sicre Xiaowei Huang Holger Hermanns Lijun Zhang AAML 66 1 0 23 May 2024
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography N. Chung Sensen Gao Tuan-Anh Vu Jie M. Zhang Aishan Liu Yun Lin Jin Song Dong Qi Guo AAML 111 11 0 23 May 2024
Learning to Transform Dynamically for Better Adversarial Transferability Rongyi Zhu Zeliang Zhang Susan Liang Zhuo Liu Chenliang Xu AAML 132 18 0 23 May 2024
Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization Yihao Huang Chong Wang Xiaojun Jia Qing Guo Felix Juefei Xu Jian Zhang G. Pu Yang Liu 111 9 0 23 May 2024
Adversarial Training of Two-Layer Polynomial and ReLU Activation Networks via Convex Optimization Daniel Kuelbs Sanjay Lall Mert Pilanci AAML 60 1 0 22 May 2024
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate A. Fuller Daniel G. Kyrollos Yousef Yassin James R. Green 123 3 0 22 May 2024
Blockchain and Artificial Intelligence: Synergies and Conflicts Leon Witt Armando Teles Fortes Kentaroh Toyoda Wojciech Samek Dan Li 73 1 0 22 May 2024
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers Shayan Mohajer Hamidi Linfeng Ye AAML 87 1 0 22 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip Torr Adel Bibi AAML 128 1 0 22 May 2024
Securing the Future of GenAI: Policy and Technology Mihai Christodorescu Craven Soheil Feizi Neil Zhenqiang Gong Mia Hoffmann ... Jessica Newman Emelia Probasco Yanjun Qi Khawaja Shams Turek SILM 114 6 0 21 May 2024
EGAN: Evolutional GAN for Ransomware Evasion Daniel Commey Benjamin Appiah B. K. Frimpong Isaac Osei Ebenezer N. A. Hammond Garth V. Crosby AAML GAN 78 0 0 20 May 2024
GAN-GRID: A Novel Generative Attack on Smart Grid Stability Prediction Emad Efatinasab Alessandro Brighente M. Rampazzo Nahal Azadi Mauro Conti 52 3 0 20 May 2024
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space Qian Liu Yufei Kuang Jie Wang AAML 47 2 0 20 May 2024
Adaptive Batch Normalization Networks for Adversarial Robustness Shao-Yuan Lo Vishal M. Patel AAML OOD 67 1 0 20 May 2024
Geometry-Aware Instrumental Variable Regression Heiner Kremer Bernhard Schölkopf 92 0 0 19 May 2024
Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes Errors Ruihan Zhang Jun Sun AAML 76 3 0 19 May 2024
UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers Duo Peng Qi Ke Jun Liu 83 4 0 18 May 2024
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing Yunlong Zhao Xiaoheng Deng Yijing Liu Xin-jun Pei Jiazhi Xia Wei Chen AAML 55 3 0 18 May 2024