Decoupled Kullback-Leibler Divergence Loss

23 May 2023

Xiaojuan Qi

Hanwang Zhang

Papers citing "Decoupled Kullback-Leibler Divergence Loss"

36 / 36 papers shown

Title
AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses Nicholas Carlini Javier Rando Edoardo Debenedetti Milad Nasr F. Tramèr AAML ELM 39 1 0 03 Mar 2025
Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing Xuyang Zhong Yixiao Huang Chen Liu AAML 41 0 0 28 Feb 2025
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation Guang Lin D. Nguyen Zerui Tao Konstantinos Slavakis Toshihisa Tanaka Qibin Zhao AAML 61 0 0 25 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 62 0 0 20 Feb 2025
Wasserstein distributional adversarial training for deep neural networks Xingjian Bai Guangyi He Yifan Jiang Jan Obloj OOD 56 0 0 13 Feb 2025
A margin-based replacement for cross-entropy loss Michael W. Spratling Heiko H. Schütt 68 0 0 21 Jan 2025
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Yong Xie Weijie Zheng Hanxun Huang Guangnan Ye Xingjun Ma AAML 72 1 0 20 Nov 2024
On the Robustness of Adversarial Training Against Uncertainty Attacks Emanuele Ledda Giovanni Scodeller Daniele Angioni Giorgio Piras Antonio Emanuele Cinà Giorgio Fumera Battista Biggio Fabio Roli AAML 30 1 0 29 Oct 2024
Environment Maps Editing using Inverse Rendering and Adversarial Implicit Functions Antonio DÓrazio Davide Sforza Fabio Pellacini Iacopo Masi 11 0 0 24 Oct 2024
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost Cheng-Han Yeh Kuanchun Yu Chun-Shien Lu DiffM AAML 33 0 0 22 Oct 2024
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain Fengpeng Li Kemou Li Haiwei Wu Jinyu Tian Jiantao Zhou AAML 31 1 0 16 Oct 2024
Optimizing Vision Transformers with Data-Free Knowledge Transfer Gousia Habib Damandeep Singh I. Malik Brejesh Lall 35 1 0 12 Aug 2024
Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness Stanislav Fort Balaji Lakshminarayanan OOD AAML 34 4 0 08 Aug 2024
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks Keiichiro Yamamura Issa Oe Hiroki Ishikura Katsuki Fujisawa AAML 35 0 0 07 Aug 2024
Shedding More Light on Robust Classifiers under the lens of Energy-based Models Mujtaba Hussain Mirza Maria Rosaria Briglia Senad Beadini I. Masi AAML 28 1 0 08 Jul 2024
MALT Powers Up Adversarial Attacks Odelia Melamed Gilad Yehudai Adi Shamir AAML 33 0 0 02 Jul 2024
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness Erh-Chung Chen Pin-Yu Chen I-Hsin Chung Che-Rung Lee 34 2 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 39 0 0 26 Jun 2024
On adversarial training and the 1 Nearest Neighbor classifier Amir Hagai Yair Weiss AAML 55 0 0 09 Apr 2024
Adversarial Guided Diffusion Models for Adversarial Purification Guang Lin Zerui Tao Jianhai Zhang Toshihisa Tanaka Qibin Zhao 29 5 0 24 Mar 2024
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness Jiequan Cui Beier Zhu Xin Wen Xiaojuan Qi Bei Yu H. Zhang 23 7 0 28 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 30 6 0 11 Feb 2024
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers Yatong Bai Mo Zhou Vishal M. Patel Somayeh Sojoudi AAML 21 6 0 03 Feb 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization Guang Lin Chao Li Jianhai Zhang Toshihisa Tanaka Qibin Zhao 31 13 0 29 Jan 2024
Rethinking Centered Kernel Alignment in Knowledge Distillation Zikai Zhou Yunhang Shen Shitong Shao Linrui Gong Shaohui Lin 24 1 0 22 Jan 2024
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 50 2 0 06 Dec 2023
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift Lin Li Yifei Wang Chawin Sitawarin Michael W. Spratling 24 0 0 19 Oct 2023
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 35 4 0 06 Oct 2023
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series Chang George Dong L. Zheng Weitong Chen W. Zhang Lin Yue AAML 8 6 0 06 Sep 2023
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement Zhen-Hu Ning Zhuotao Tian Guangming Lu Wenjie Pei 3DPC 26 14 0 06 Aug 2023
Efficient and Effective Augmentation Strategy for Adversarial Training Sravanti Addepalli Samyak Jain R. Venkatesh Babu AAML 62 58 0 27 Oct 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
Distilling Knowledge via Knowledge Review Pengguang Chen Shu-Lin Liu Hengshuang Zhao Jiaya Jia 149 420 0 19 Apr 2021
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 241 457 0 11 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014