ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.12376
  4. Cited By
Revisiting and Advancing Fast Adversarial Training Through The Lens of
  Bi-Level Optimization

Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization

23 December 2021
Yihua Zhang
Guanhua Zhang
Prashant Khanduri
Min-Fong Hong
Shiyu Chang
Sijia Liu
    AAML
ArXivPDFHTML

Papers citing "Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization"

12 / 12 papers shown
Title
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
Youran Dong
Junfeng Yang
Wei-Ting Yao
Jin Zhang
109
0
0
04 May 2025
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers
Elad Sofer
Tomer Shaked
Caroline Chaux
Nir Shlezinger
AAML
35
0
0
26 Apr 2025
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
Songping Wang
Hanqing Liu
Yueming Lyu
Xiantao Hu
Ziwen He
W. Wang
Caifeng Shan
L. Wang
AAML
78
0
0
21 Apr 2025
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
Hanhui Wang
Yihua Zhang
Ruizheng Bai
Yue Zhao
Sijia Liu
Z. Tu
AAML
PICV
98
2
0
25 Nov 2024
Advancing the Robustness of Large Language Models through Self-Denoised
  Smoothing
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
Jiabao Ji
Bairu Hou
Zhen Zhang
Guanhua Zhang
Wenqi Fan
Qing Li
Yang Zhang
Gaowen Liu
Sijia Liu
Shiyu Chang
AAML
30
5
0
18 Apr 2024
Catastrophic Overfitting: A Potential Blessing in Disguise
Catastrophic Overfitting: A Potential Blessing in Disguise
Mengnan Zhao
Lihe Zhang
Yuqiu Kong
Baocai Yin
AAML
37
1
0
28 Feb 2024
A Single-Loop Algorithm for Decentralized Bilevel Optimization
A Single-Loop Algorithm for Decentralized Bilevel Optimization
Youran Dong
Shiqian Ma
Junfeng Yang
Chao Yin
29
7
0
15 Nov 2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks
Robust Mixture-of-Expert Training for Convolutional Neural Networks
Yihua Zhang
Ruisi Cai
Tianlong Chen
Guanhua Zhang
Huan Zhang
Pin-Yu Chen
Shiyu Chang
Zhangyang Wang
Sijia Liu
MoE
AAML
OOD
30
16
0
19 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training
Doubly Robust Instance-Reweighted Adversarial Training
Daouda Sow
Sen-Fon Lin
Zhangyang Wang
Yitao Liang
AAML
OOD
30
2
0
01 Aug 2023
Black-box Adversarial Attacks in Autonomous Vehicle Technology
Black-box Adversarial Attacks in Autonomous Vehicle Technology
K. N. Kumar
Vishnu Chalavadi
Reshmi Mitra
C.Krishna Mohan
AAML
23
70
0
15 Jan 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
221
436
0
25 Sep 2019
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,109
0
04 Nov 2016
1