Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck

6 April 2022

Papers citing "Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck"

28 / 28 papers shown

Title
Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores Hyunsik Na Wonho Lee Seungdeok Roh Sohee Park Daeseon Choi AAML 42 0 0 13 May 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data Lilin Zhang Chengpei Wu Ning Yang 99 0 0 14 Mar 2025
Robust Feature Learning for Multi-Index Models in High Dimensions Alireza Mousavi-Hosseini Adel Javanmard Murat A. Erdogdu OOD AAML 170 1 0 21 Oct 2024
Golyadkin's Torment: Doppelgängers and Adversarial Vulnerability George I. Kamberov AAML 66 0 0 17 Oct 2024
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data Binghui Li Yuanzhi Li OOD 94 4 0 11 Oct 2024
Phantom of Latent for Large Language and Vision Models Byung-Kwan Lee Sangyun Chung Chae Won Kim Beomchan Park Yong Man Ro VLM LRM 97 7 0 23 Sep 2024
TroL: Traversal of Layers for Large Language and Vision Models Byung-Kwan Lee Sangyun Chung Chae Won Kim Beomchan Park Yong Man Ro 111 7 0 18 Jun 2024
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain Jun Liu Jiantao Zhou Jiandian Zeng Jinyu Tian Zheng Li 82 0 0 05 Jun 2024
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models Byung-Kwan Lee Chae Won Kim Beomchan Park Yonghyun Ro MLLM LRM 142 21 0 24 May 2024
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals Rui Zheng Yuhao Zhou Zhiheng Xi Tao Gui Qi Zhang Xuanjing Huang AAML 77 0 0 24 Mar 2024
MoAI: Mixture of All Intelligence for Large Language and Vision Models Byung-Kwan Lee Beomchan Park Chae Won Kim Yonghyun Ro MLLM VLM 133 23 0 12 Mar 2024
CoLLaVO: Crayon Large Language and Vision mOdel Byung-Kwan Lee Beomchan Park Chae Won Kim Yonghyun Ro VLM MLLM 103 18 0 17 Feb 2024
Theoretical Understanding of Learning from Adversarial Perturbations Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 96 3 0 16 Feb 2024
DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space Liu Jun Jiantao Zhou Jiandian Zeng Jinyu Tian 62 1 0 26 Sep 2023
Exploring Robust Features for Improving Adversarial Robustness Hong Wang Yuefan Deng Shinjae Yoo Yuewei Lin AAML 98 4 0 09 Sep 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee Junho Kim Yonghyun Ro AAML 95 9 0 14 Jul 2023
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning Hong Joo Lee Yonghyun Ro AAML 60 4 0 27 Jun 2023
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy Enyan Dai Limeng Cui Zhengyang Wang Xianfeng Tang Yinghan Wang Mo Cheng Bin Yin Suhang Wang AAML 99 16 0 14 Jun 2023
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression Junho Kim Byung-Kwan Lee Yonghyun Ro CML AAML 91 18 0 02 Mar 2023
IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness Xiaoyun Xu Guilherme Perin S. Picek AAML 80 1 0 09 Feb 2023
Disentangled Generation with Information Bottleneck for Few-Shot Learning Zhuohang Dang Jihong Wang Minnan Luo Chengyou Jia Caixia Yan Qinghua Zheng 73 1 0 29 Nov 2022
Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness Jiahao Zhao Wenji Mao DRL OOD 61 3 0 26 Oct 2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network Hua Hua Jun Yan Xi Fang Weiquan Huang Huilin Yin Wancheng Ge AAML 63 1 0 25 Oct 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? Nikolaos Tsilivis Julia Kempe AAML 98 20 0 11 Oct 2022
Meet You Halfway: Explaining Deep Learning Mysteries Oriel BenShmuel AAML FedML FAtt OOD 54 0 0 09 Jun 2022
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network Byung-Kwan Lee Junho Kim Y. Ro AAML 52 20 0 06 Apr 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 58 2 0 07 Feb 2022
Can Adversarial Training Be Manipulated By Non-Robust Features? Lue Tao Lei Feng Hongxin Wei Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 257 17 0 31 Jan 2022