ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2401.04727
  4. Cited By
Revisiting Adversarial Training at Scale
v1v2 (latest)

Revisiting Adversarial Training at Scale

Computer Vision and Pattern Recognition (CVPR), 2024
9 January 2024
Zeyu Wang
Xianhang Li
Hongru Zhu
Cihang Xie
ArXiv (abs)PDFHTMLGithub (19★)

Papers citing "Revisiting Adversarial Training at Scale"

16 / 16 papers shown
Robustness Feature Adapter for Efficient Adversarial Training
Robustness Feature Adapter for Efficient Adversarial Training
Quanwei Wu
Jun Guo
Wei Wang
Yi Alice Wang
AAML
176
1
0
25 Aug 2025
A Guide to Robust Generalization: The Impact of Architecture, Pre-training, and Optimization Strategy
A Guide to Robust Generalization: The Impact of Architecture, Pre-training, and Optimization Strategy
M. Heuillet
Rishika Bhagwatkar
Jonas Ngnawé
Y. Pequignot
Alexandre Larouche
Christian Gagné
Irina Rish
Ola Ahmad
Audrey Durand
OODAAMLVLM
221
2
0
12 Aug 2025
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
Gaozheng Pei
Ke Ma
Yingfei Sun
Qianqian Xu
Qingming Huang
DiffM
615
5
0
02 May 2025
Transferable Adversarial Attacks on Black-Box Vision-Language Models
Transferable Adversarial Attacks on Black-Box Vision-Language Models
Kai Hu
Weichen Yu
Guang Dai
Alexander Robey
Andy Zou
Chengming Xu
Haoqi Hu
Matt Fredrikson
AAMLVLM
494
8
0
02 May 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
Wenjie Wang
Caifeng Shan
Lei Wang
AAML
1.0K
9
0
21 Apr 2025
AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization
AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization
Chaohu Liu
Tianyi Gui
Yu Liu
Linli Xu
VLMAAML
386
6
0
02 Apr 2025
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2025
Mohamed Afane
Gabrielle Ebbrecht
Ying Wang
Juntao Chen
Junaid Farooq
288
4
0
26 Mar 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised DataComputer Vision and Pattern Recognition (CVPR), 2025
Lilin Zhang
Chengpei Wu
Ning Yang
423
0
0
14 Mar 2025
Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models
Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models
H. Malik
Fahad Shamshad
Muzammal Naseer
Karthik Nandakumar
Fahad Shahbaz Khan
Salman Khan
AAMLMLLMVLM
553
9
0
03 Feb 2025
Trading Inference-Time Compute for Adversarial Robustness
Trading Inference-Time Compute for Adversarial Robustness
Wojciech Zaremba
Evgenia Nitishinskaya
Boaz Barak
Stephanie Lin
Sam Toyer
...
Rachel Dias
Eric Wallace
Kai Y. Xiao
Johannes Heidecke
Amelia Glaese
LRMAAML
549
55
0
31 Jan 2025
Boosting Adversarial Transferability with Spatial Adversarial Alignment
Boosting Adversarial Transferability with Spatial Adversarial Alignment
Zhaoyu Chen
Haijing Guo
Kaixun Jiang
Jiyuan Fu
Xinyu Zhou
Jinjie Wei
Hao Tang
Yue Liu
Wenqiang Zhang
AAML
415
1
0
02 Jan 2025
Adversarial Prompt Distillation for Vision-Language Models
Adversarial Prompt Distillation for Vision-Language Models
Lin Luo
Xin Wang
Bojia Zi
Shihao Zhao
Jiabo He
Yu-Gang Jiang
AAMLVLM
653
5
0
22 Nov 2024
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in
  Vision-Language Models
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Xin Wang
Kai-xiang Chen
Jiaming Zhang
Yue Yu
Jiabo He
AAMLVPVLMVLM
439
21
0
20 Nov 2024
Adversarial Training: A Survey
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
342
13
0
19 Oct 2024
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
Richard Ren
Steven Basart
Adam Khoja
Alice Gatti
Long Phan
...
Alexander Pan
Gabriel Mukobi
Ryan H. Kim
Stephen Fitz
Dan Hendrycks
ELM
393
64
0
31 Jul 2024
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
Xiaoyun Xu
Shujian Yu
Jingzheng Wu
S. Picek
AAML
699
10
0
08 Dec 2023
1
Page 1 of 1