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"

11 / 11 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 31 75 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 23 19 0 24 Oct 2022
WebGraph: Capturing Advertising and Tracking Information Flows for Robust Blocking S. Siby Umar Iqbal Steven Englehardt Zubair Shafiq Carmela Troncoso AAML 8 28 0 23 Jul 2021
Real-time Detection of Practical Universal Adversarial Perturbations Kenneth T. Co Luis Muñoz-González Leslie Kanthan Emil C. Lupu AAML 19 6 0 16 May 2021
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 14 19 0 19 Aug 2020
Exploiting Verified Neural Networks via Floating Point Numerical Error Kai Jia Martin Rinard AAML 32 34 0 06 Mar 2020
Adversarial Training and Robustness for Multiple Perturbations Florian Tramèr Dan Boneh AAML SILM 17 374 0 30 Apr 2019
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 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