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Petros G. Voulgaris

2 accepted papers

2023

Learning When to Use Adaptive Adversarial Image Perturbations Against Autonomous Vehicles

RA-L 2023

Deep neural network (DNN) models are widely used in autonomous vehicles for object detection using camera images. However, these models are vulnerable to adversarial image perturbations. Existing methods for generating these perturbations use the image frame as the decision variable, resulting in a

Cited by 11SourceScholar
2022

A Communication Efficient Quasi-Newton Method for Large-Scale Distributed Multi-Agent Optimization

ICASSP 2022accepted

We propose a communication efficient quasi-Newton method for large-scale multi-agent convex composite optimization. We assume the setting of a network of agents that cooperatively solve a global minimization problem with strongly convex local cost functions augmented with a non-smooth convex regular…

Cited by 0SourceScholar