AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning

AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning

8 November 2018

Yury Makarychev

Giancarlo Pellegrino

Dan Boneh

Papers citing "AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning"

8 / 8 papers shown

Title
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 14 74 0 29 Dec 2022
Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning Ying Yuan Giovanni Apruzzese Mauro Conti AAML 11 19 0 24 Oct 2022
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 6 19 0 19 Aug 2020
Adversarial Training and Robustness for Multiple Perturbations Florian Tramèr Dan Boneh AAML SILM 15 373 0 30 Apr 2019
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 162 284 0 02 Dec 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 253 3,102 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,813 0 08 Jul 2016
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video Chandrayee Basu Qian Yang M. Singhal Anca Dragan 49 174 0 25 Mar 2016