Adversarial Examples in Deep Learning: Characterization and Divergence

Adversarial Examples in Deep Learning: Characterization and Divergence

29 June 2018

Mehmet Emre Gursoy

Papers citing "Adversarial Examples in Deep Learning: Characterization and Divergence"

6 / 6 papers shown

Title
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance Jiayu Huo Yang Liu Xiaoyun Ouyang Alejandro Granados Sebastien Ourselin Rachel Sparks 27 3 0 02 Jul 2023
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 156 0 08 Sep 2020
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks Ka-Ho Chow Wenqi Wei Yanzhao Wu Ling Liu AAML 22 15 0 21 Aug 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016