Bridging the Performance Gap between FGSM and PGD Adversarial Training

Bridging the Performance Gap between FGSM and PGD Adversarial Training

7 November 2020

Vlado Menkovski

Mykola Pechenizkiy

Papers citing "Bridging the Performance Gap between FGSM and PGD Adversarial Training"

5 / 5 papers shown

Title
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks Ferheen Ayaz Idris Zakariyya José Cano S. Keoh Jeremy Singer D. Pau Mounia Kharbouche-Harrari 21 5 0 25 Apr 2023
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems I. Aliyu Sélinde Van Engelenburg Muhammed Muazu Jinsul Kim C. Lim AAML 41 14 0 11 Jul 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 212 345 0 15 Dec 2021
Calibrated Adversarial Training Tianjin Huang Vlado Menkovski Yulong Pei Mykola Pechenizkiy AAML 64 3 0 01 Oct 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,113 0 04 Nov 2016