Yves Le Traon

FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning

2023

Flaky tests are tests that yield different outcomes when run on the same version of a program. This non-deterministic behaviour plagues continuous integration with false signals, wasting developers’ time and reducing their trust in test …

On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks

2023

While the literature on security attacks and defenses of Machine Learning (ML) systems mostly focuses on unrealistic adversarial examples, recent research has raised concern about the under-explored field of realistic adversarial attacks and their implications …

FedSparQ: Adaptive Sparse Quantization with Error Feedback for Robust & Efficient Federated Learning

2025 · arXiv (Cornell University)

Federated Learning (FL) enables collaborative model training across decentralized clients while preserving data privacy by keeping raw data local. However, FL suffers from significant communication overhead due to the frequent exchange of high-dimensional model updates …