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Robustness, Privacy, and Generalization of Adversarial Training

Robustness, Privacy, and Generalization of Adversarial Training

25 December 2020
Fengxiang He
Shaopeng Fu
Bohan Wang
Dacheng Tao
ArXiv (abs)PDFHTMLGithub (4★)

Papers citing "Robustness, Privacy, and Generalization of Adversarial Training"

8 / 8 papers shown
The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
Ethan Hsu
Harry Chen
Chudi Zhong
Lesia Semenova
152
0
0
26 Nov 2025
Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs
Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs
Mohammed Elnawawy
Gargi Mitra
Shahrear Iqbal
Karthik Pattabiraman
AAML
254
0
0
10 May 2025
Fast Propagation is Better: Accelerating Single-Step Adversarial
  Training via Sampling Subnetworks
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling SubnetworksIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Yang Liu
Jianshu Li
Jindong Gu
Yang Bai
Xiaochun Cao
AAML
263
14
0
24 Oct 2023
Probing the Transition to Dataset-Level Privacy in ML Models Using an
  Output-Specific and Data-Resolved Privacy Profile
Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile
Tyler LeBlond
Joseph Munoz
Fred Lu
Maya Fuchs
Elliott Zaresky-Williams
Edward Raff
Brian Testa
211
3
0
27 Jun 2023
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge
  Collaborative AutoML System
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System
Chao Xue
Wen Liu
Shunxing Xie
Zhenfang Wang
Jiaxing Li
...
Shi-Yong Chen
Yibing Zhan
Jing Zhang
Chaoyue Wang
Dacheng Tao
263
4
0
01 Mar 2023
Exploring High-Order Structure for Robust Graph Structure Learning
Exploring High-Order Structure for Robust Graph Structure Learning
Guangqian Yang
Yibing Zhan
Jinlong Li
Baosheng Yu
Liu Liu
Fengxiang He
AAML
185
0
0
22 Mar 2022
Black-Box Generalization: Stability of Zeroth-Order Learning
Black-Box Generalization: Stability of Zeroth-Order LearningNeural Information Processing Systems (NeurIPS), 2022
Konstantinos E. Nikolakakis
Farzin Haddadpour
Dionysios S. Kalogerias
Amin Karbasi
MLT
276
2
0
14 Feb 2022
Gradient Masking and the Underestimated Robustness Threats of
  Differential Privacy in Deep Learning
Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning
Franziska Boenisch
Philip Sperl
Konstantin Böttinger
AAML
168
19
0
17 May 2021
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