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Understanding and Increasing Efficiency of Frank-Wolfe Adversarial
  Training
v1v2v3v4v5 (latest)

Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training

Computer Vision and Pattern Recognition (CVPR), 2020
22 December 2020
Theodoros Tsiligkaridis
Jay Roberts
    AAML
ArXiv (abs)PDFHTML

Papers citing "Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training"

12 / 12 papers shown
VASSO: Variance Suppression for Sharpness-Aware Minimization
Bingcong Li
Yilang Zhang
G. Giannakis
357
1
0
02 Sep 2025
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
On Using Certified Training towards Empirical Robustness
On Using Certified Training towards Empirical Robustness
Alessandro De Palma
Serge Durand
Zakaria Chihani
François Terrier
Caterina Urban
OODAAML
460
3
0
02 Oct 2024
A constrained optimization approach to improve robustness of neural
  networks
A constrained optimization approach to improve robustness of neural networks
Shudian Zhao
Jan Kronqvist
AAML
301
0
0
18 Sep 2024
Defensive Unlearning with Adversarial Training for Robust Concept
  Erasure in Diffusion Models
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
Yimeng Zhang
Xin Chen
Jinghan Jia
Yihua Zhang
Chongyu Fan
Jiancheng Liu
Mingyi Hong
Ke Ding
Sijia Liu
DiffM
579
135
0
24 May 2024
Efficient local linearity regularization to overcome catastrophic
  overfitting
Efficient local linearity regularization to overcome catastrophic overfittingInternational Conference on Learning Representations (ICLR), 2024
Elias Abad Rocamora
Fanghui Liu
Grigorios G. Chrysos
Pablo M. Olmos
Volkan Cevher
AAML
249
8
0
21 Jan 2024
Enhancing Sharpness-Aware Optimization Through Variance Suppression
Enhancing Sharpness-Aware Optimization Through Variance SuppressionNeural Information Processing Systems (NeurIPS), 2023
Bingcong Li
G. Giannakis
AAML
572
39
0
27 Sep 2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW:
  Lipschitz Regularization and Auto Weight Averaging
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight AveragingIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Yang Liu
YueFeng Chen
Xiaofeng Mao
Ranjie Duan
Jindong Gu
Rong Zhang
H. Xue
Xiaochun Cao
AAML
296
16
0
22 Aug 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior
  Consistency
Encoding Time-Series Explanations through Self-Supervised Model Behavior ConsistencyNeural Information Processing Systems (NeurIPS), 2023
Owen Queen
Thomas Hartvigsen
Teddy Koker
Huan He
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
400
40
0
03 Jun 2023
SAIF: Sparse Adversarial and Imperceptible Attack Framework
SAIF: Sparse Adversarial and Imperceptible Attack Framework
Tooba Imtiaz
Morgan Kohler
Jared Miller
Zifeng Wang
Masih Eskandar
Mario Sznaier
Octavia Camps
Jennifer Dy
AAML
363
1
0
14 Dec 2022
Robust Natural Language Processing: Recent Advances, Challenges, and
  Future Directions
Robust Natural Language Processing: Recent Advances, Challenges, and Future DirectionsIEEE Access (IEEE Access), 2022
Marwan Omar
Soohyeon Choi
Daehun Nyang
David A. Mohaisen
279
82
0
03 Jan 2022
Diverse Gaussian Noise Consistency Regularization for Robustness and
  Uncertainty Calibration
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty CalibrationIEEE International Joint Conference on Neural Network (IJCNN), 2021
Theodoros Tsiligkaridis
Athanasios Tsiligkaridis
584
6
0
02 Apr 2021
1
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