Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples

24 January 2019

Papers citing "Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples"

30 / 30 papers shown

Title
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion Zijun Long George Killick Lipeng Zhuang Gerardo Aragon Camarasa Zaiqiao Meng R. McCreadie VLM 50 2 0 22 Feb 2024
Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics Wenwei Zhao Xiaowen Li Shangqing Zhao Jie Xu Yao-Hong Liu Zhuo Lu AAML 23 1 0 14 Feb 2024
When hard negative sampling meets supervised contrastive learning Zijun Long George Killick R. McCreadie Gerardo Aragon Camarasa Zaiqiao Meng SSL 28 3 0 28 Aug 2023
Provable Benefit of Mixup for Finding Optimal Decision Boundaries Junsoo Oh Chulee Yun 25 5 0 01 Jun 2023
LaCViT: A Label-aware Contrastive Fine-tuning Framework for Vision Transformers Zijun Long Zaiqiao Meng Gerardo Aragon Camarasa R. McCreadie VLM 42 5 0 31 Mar 2023
Logic of Differentiable Logics: Towards a Uniform Semantics of DL Natalia Slusarz Ekaterina Komendantskaya M. Daggitt Rob Stewart Kathrin Stark 31 17 0 19 Mar 2023
Stationary Point Losses for Robust Model Weiwei Gao Dazhi Zhang Yao Li Zhichang Guo Ovanes Petrosian OOD 29 0 0 19 Feb 2023
Mere Contrastive Learning for Cross-Domain Sentiment Analysis Yun Luo Fang Guo Zihan Liu Yue Zhang 39 15 0 18 Aug 2022
Understanding Square Loss in Training Overparametrized Neural Network Classifiers Tianyang Hu Jun Wang Wei Cao Zhenguo Li UQCV AAML 41 19 0 07 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 36 76 0 26 Nov 2021
Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity B. Aquino Arash Rahnama Peter M. Seiler Lizhen Lin Vijay Gupta AAML 24 8 0 25 Nov 2021
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier Linyang Li Demin Song Ruotian Ma Xipeng Qiu Xuanjing Huang 29 21 0 06 Oct 2021
Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks Louis Bethune Thibaut Boissin M. Serrurier Franck Mamalet Corentin Friedrich Alberto González Sanz 35 21 0 11 Apr 2021
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning Zhigang Dai Bolun Cai Yugeng Lin Junying Chen SSL 30 6 0 19 Mar 2021
Estimation and Applications of Quantiles in Deep Binary Classification Anuj Tambwekar Anirudh Maiya S. Dhavala Snehanshu Saha UQCV 13 7 0 09 Feb 2021
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 19 49 0 26 Dec 2020
Demystifying Deep Neural Networks Through Interpretation: A Survey Giang Dao Minwoo Lee FaML FAtt 22 1 0 13 Dec 2020
Gradient Starvation: A Learning Proclivity in Neural Networks Mohammad Pezeshki Sekouba Kaba Yoshua Bengio Aaron Courville Doina Precup Guillaume Lajoie MLT 50 257 0 18 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning Beliz Gunel Jingfei Du Alexis Conneau Ves Stoyanov 18 497 0 03 Nov 2020
Understanding the Failure Modes of Out-of-Distribution Generalization Vaishnavh Nagarajan Anders Andreassen Behnam Neyshabur OOD OODD 13 174 0 29 Oct 2020
A Differential Game Theoretic Neural Optimizer for Training Residual Networks Guan-Horng Liu T. Chen Evangelos A. Theodorou 24 2 0 17 Jul 2020
Boundary thickness and robustness in learning models Yaoqing Yang Rekha Khanna Yaodong Yu A. Gholami Kurt Keutzer Joseph E. Gonzalez Kannan Ramchandran Michael W. Mahoney OOD 18 37 0 09 Jul 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 48 4,417 0 23 Apr 2020
A Framework for Behavior Privacy Preserving in Radio Frequency Signal Jianwei Liu Jinsong Han Lei Yang Fei Wang Feng Lin K. Ren 16 0 0 10 Apr 2020
DDPNOpt: Differential Dynamic Programming Neural Optimizer Guan-Horng Liu T. Chen Evangelos A. Theodorou 27 7 0 20 Feb 2020
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study David Mickisch F. Assion Florens Greßner W. Günther M. Motta AAML 19 34 0 05 Feb 2020
Adaptive versus Standard Descent Methods and Robustness Against Adversarial Examples Marc Khoury AAML 17 1 0 09 Nov 2019
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models Heng Chang Yu Rong Tingyang Xu Wenbing Huang Honglei Zhang Peng Cui Wenwu Zhu Junzhou Huang AAML 18 151 0 04 Aug 2019
Towards a Robust Deep Neural Network in Texts: A Survey Wenqi Wang Benxiao Tang Run Wang Lina Wang Aoshuang Ye AAML 26 39 0 12 Feb 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016