Adversarial Logit Pairing

16 March 2018

Papers citing "Adversarial Logit Pairing"

50 / 405 papers shown

Title
Defending Against Frequency-Based Attacks with Diffusion Models Fatemeh Amerehi Patrick Healy AAML 30 0 0 15 Apr 2025
A Study on Adversarial Robustness of Discriminative Prototypical Learning Ramin Zarei-Sabzevar Hamed Mohammadzadeh Tahmineh Tavakoli Ahad Harati AAML 21 0 0 03 Apr 2025
Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense Haibo Zhang Zhihua Yao Kouichi Sakurai Takeshi Saitoh AAML 58 0 0 02 Apr 2025
Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin Sihao Wu Jiaxu Liu Tianjin Huang Ronghui Mu 76 1 0 22 Jan 2025
A margin-based replacement for cross-entropy loss Michael W. Spratling Heiko H. Schütt 68 0 0 21 Jan 2025
Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Jialin Wu Kaikai Pan Yanjiao Chen Jiangyi Deng Shengyuan Pang Wenyuan Xu ViT AAML 43 0 0 13 Jan 2025
Stability and Generalization in Free Adversarial Training Xiwei Cheng Kexin Fu Farzan Farnia AAML 46 2 0 08 Jan 2025
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness Olukorede Fakorede Modeste Atsague Jin Tian AAML 37 0 0 31 Dec 2024
Central limit theorems for vector-valued composite functionals with smoothing and applications Huhui Chen Darinka Dentcheva Yang Lin Gregory J. Stock 48 3 0 26 Dec 2024
Fed-AugMix: Balancing Privacy and Utility via Data Augmentation HaoYang Li Wei Chen Xiaojin Zhang FedML 73 0 0 18 Dec 2024
Towards Secured Smart Grid 2.0: Exploring Security Threats, Protection Models, and Challenges Lan-Huong Nguyen V. Nguyen Ren-Hung Hwang Jian-Jhih Kuo Yu-Wen Chen Chien-Chung Huang Ping-I Pan 34 6 0 07 Nov 2024
Conflict-Aware Adversarial Training Zhiyu Xue Haohan Wang Yao Qin Ramtin Pedarsani AAML 25 0 0 21 Oct 2024
Stochastic Gradient Descent Jittering for Inverse Problems: Alleviating the Accuracy-Robustness Tradeoff Peimeng Guan Mark A. Davenport 28 0 0 18 Oct 2024
Adversarial Robustness Overestimation and Instability in TRADES Jonathan Weiping Li Ren-Wei Liang Cheng-Han Yeh Cheng-Chang Tsai Kuanchun Yu Chun-Shien Lu Shang-Tse Chen AAML 53 0 0 10 Oct 2024
MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learning Sedjro Salomon Hotegni Sebastian Peitz AAML 26 2 0 02 Oct 2024
Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge Hyejin Park Dongbo Min AAML 34 2 0 03 Sep 2024
Correlation Analysis of Adversarial Attack in Time Series Classification Zhengyang Li Wenhao Liang Chang Dong Weitong Chen Dong Huang AAML 39 0 0 21 Aug 2024
Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging Attention Modality Reweighter Chao Liu Xin Liu Zi-jian Yu Yonghong Hou Huanjing Yue Jingyu Yang AAML 30 0 0 29 Jul 2024
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning Xiaojin Zhang Mingcong Xu Wei Chen FedML 27 0 0 05 Jul 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 39 0 0 26 Jun 2024
Enhancing robustness of data-driven SHM models: adversarial training with circle loss Xiangli Yang Xijie Deng Hanwei Zhang Yang Zou Jianxi Yang AAML 41 0 0 20 Jun 2024
Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization Jia-Li Yin Haoyuan Zheng Ximeng Liu AAML 31 0 0 19 Jun 2024
Understanding Visual Concepts Across Models Brandon Trabucco Max Gurinas Kyle Doherty Ruslan Salakhutdinov VLM 45 0 0 11 Jun 2024
HOLMES: to Detect Adversarial Examples with Multiple Detectors Jing Wen AAML 32 0 0 30 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 36 52 0 24 May 2024
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment Lei Wang Desen Yuan AAML OOD 33 1 0 30 Apr 2024
FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity Yu Qiao Huy Q. Le Mengchun Zhang Apurba Adhikary Chaoning Zhang Choong Seon Hong FedML 43 9 0 14 Apr 2024
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization Runqi Lin Chaojian Yu Tongliang Liu AAML 30 9 0 11 Apr 2024
CodeFort: Robust Training for Code Generation Models Yuhao Zhang Shiqi Wang Haifeng Qian Zijian Wang Mingyue Shang ... Sanjay Krishna Gouda Baishakhi Ray M. K. Ramanathan Xiaofei Ma Anoop Deoras 44 1 0 11 Apr 2024
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data Yu Qiao Chaoning Zhang Apurba Adhikary Choong Seon Hong FedML 33 7 0 10 Apr 2024
Towards Understanding Dual BN In Hybrid Adversarial Training Chenshuang Zhang Chaoning Zhang Kang Zhang Axi Niu Junmo Kim In So Kweon AAML 39 1 0 28 Mar 2024
SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks Brian Formento Wenjie Feng Chuan-Sheng Foo Anh Tuan Luu See-Kiong Ng AAML 32 6 0 27 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei-ping Xu DD AAML 38 5 0 20 Mar 2024
Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples Eda Yilmaz H. Keles AAML 16 2 0 08 Mar 2024
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense Qiao Han yong huang Xinling Guo Yiteng Zhai Yu Qin Yao Yang AAML 20 1 0 29 Feb 2024
Edge Detectors Can Make Deep Convolutional Neural Networks More Robust Jin Ding Jie-Chao Zhao Yong-zhi Sun Ping Tan Jia-Wei Wang Ji-en Ma You-tong Fang AAML 47 2 0 26 Feb 2024
Enhancing Robustness of Indoor Robotic Navigation with Free-Space Segmentation Models Against Adversarial Attacks Qiyuan An Christos Sevastopoulos F. Makedon 23 1 0 13 Feb 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations Enyi Jiang Gagandeep Singh AAML 30 1 0 09 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 25 16 0 02 Feb 2024
A Training-Free Defense Framework for Robust Learned Image Compression Myungseo Song Jinyoung Choi Bohyung Han AAML 19 4 0 22 Jan 2024
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks Thomas Paniagua Ryan Grainger Tianfu Wu AAML 27 0 0 12 Dec 2023
Topology-Preserving Adversarial Training Xiaoyue Mi Fan Tang Yepeng Weng Danding Wang Juan Cao Sheng Tang Peng Li Yang Liu 51 1 0 29 Nov 2023
Adversarial defense based on distribution transfer Jiahao Chen Diqun Yan Li Dong 25 0 0 23 Nov 2023
Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts Shashank Kotyan Danilo Vasconcellos Vargas AAML 15 0 0 16 Nov 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning Shashank Kotyan Danilo Vasconcellos Vargas AAML 15 0 0 14 Nov 2023
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks Yang Wang B. Dong Ke Xu Haiyin Piao Yufei Ding Baocai Yin Xin Yang AAML 37 3 0 10 Oct 2023
GReAT: A Graph Regularized Adversarial Training Method Samet Bayram Kenneth Barner OOD AAML 22 1 0 09 Oct 2023
Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria Nuoyan Zhou Nannan Wang Decheng Liu Dawei Zhou Xinbo Gao AAML 28 2 0 05 Oct 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 37 4 0 03 Oct 2023
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation K. K. Nakka Mathieu Salzmann DRL CoGe 21 2 0 20 Sep 2023