On the benefits of knowledge distillation for adversarial robustness

On the benefits of knowledge distillation for adversarial robustness

14 March 2022

Guillermo Ortiz-Jiménez

Papers citing "On the benefits of knowledge distillation for adversarial robustness"

14 / 14 papers shown

Title
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 118 0 0 09 Mar 2025
Adversarial Prompt Distillation for Vision-Language Models Lin Luo Xin Wang Bojia Zi Shihao Zhao Xingjun Ma Yu-Gang Jiang AAML VLM 79 1 0 22 Nov 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 21 0 0 19 Oct 2024
Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge Hyejin Park Dongbo Min AAML 24 2 0 03 Sep 2024
Exploring Graph-based Knowledge: Multi-Level Feature Distillation via Channels Relational Graph Zhiwei Wang Jun Huang Longhua Ma Chengyu Wu Hongyu Ma 35 0 0 14 May 2024
Robust feature knowledge distillation for enhanced performance of lightweight crack segmentation models Zhaohui Chen Elyas Asadi Shamsabadi Sheng Jiang Luming Shen Daniel Dias-da-Costa 27 2 0 09 Apr 2024
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency Hallgrimur Thorsteinsson Valdemar J Henriksen Tong Chen Raghavendra Selvan AAML 27 1 0 14 Mar 2024
Distilling Adversarial Robustness Using Heterogeneous Teachers Jieren Deng A. Palmer Rigel Mahmood Ethan Rathbun Jinbo Bi Kaleel Mahmood Derek Aguiar AAML 27 0 0 23 Feb 2024
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 48 2 0 06 Dec 2023
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data Qing Xu Min-man Wu Xiaoli Li K. Mao Zhenghua Chen 14 5 0 07 Jul 2023
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training Fan Liu Weijiao Zhang Haowen Liu AI4TS OOD 10 9 0 25 Jun 2023
AdvFunMatch: When Consistent Teaching Meets Adversarial Robustness Ziuhi Wu Haichang Gao Bingqian Zhou Ping Wang AAML 16 0 0 24 May 2023
A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inference Abhinav Kumar Miguel A. Guirao Aguilera R. Tourani S. Misra AAML 11 0 0 31 Mar 2023
Maximum Likelihood Distillation for Robust Modulation Classification Javier Maroto Gérôme Bovet P. Frossard AAML 11 5 0 01 Nov 2022