Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2203.07159
Cited By
On the benefits of knowledge distillation for adversarial robustness
14 March 2022
Javier Maroto
Guillermo Ortiz-Jiménez
P. Frossard
AAML
FedML
Re-assign community
ArXiv
PDF
HTML
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
1