4 citations · 5 across the 2 of their papers we have counts for
4 papers
Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses
Buse G. A. Tekgul, Shelly Wang, Samuel Marchal +1
Deep reinforcement learning (DRL) is vulnerable to adversarial perturbations. Adversaries can mislead the policies of DRL agents by perturbing the state of the environment observed…
WAFFLE: Watermarking in Federated Learning
Buse Gul Atli, Yuxi Xia, Samuel Marchal +1
Federated learning is a distributed learning technique where machine learning models are trained on client devices in which the local training data resides. The training is coordin…
Profiling Users by Modeling Web Transactions
Radek Tomsu, Samuel Marchal, N. Asokan
Users of electronic devices, e.g., laptop, smartphone, etc. have characteristic behaviors while surfing the Web. Profiling this behavior can help identify the person using a given…
Know Your Phish: Novel Techniques for Detecting Phishing Sites and their Targets
Samuel Marchal, Kalle Saari, Nidhi Singh +1
Phishing is a major problem on the Web. Despite the significant attention it has received over the years, there has been no definitive solution. While the state-of-the-art solution…