Michail Maniatakos
5 papers in the PaperMetrix corpus
Papers by this author
-
A Trigger Exploration Method for Backdoor Attacks on Deep Learning-Based Traffic Control Systems
2021 · 2021 60th IEEE Conference on Decision and Control (CDC)
Deep learning methods are in the forefront of techniques used to perform complex controls in autonomous vehicles (AVs). Such methods are vulnerable to nuanced types of adversarial attacks, and can have sever safety implications. Specifically, …
-
Accelerating Fully Homomorphic Encryption by Bridging Modular and Bit-Level Arithmetic
2022 · arXiv (Cornell University)
The dramatic increase of data breaches in modern computing platforms has emphasized that access control is not sufficient to protect sensitive user data. Recent advances in cryptography allow end-to-end processing of encrypted data without the …
-
ConFirm: Detecting firmware modifications in embedded systems using Hardware Performance Counters
2015
Critical infrastructure components nowadays use microprocessor-based embedded control systems. It is often infeasible, however, to employ the same level of security measures used in general purpose computing systems, due to the stringent performance and resource …
-
Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems
2023 · arXiv (Cornell University)
Deep Reinforcement Learning (DRL) enhances the efficiency of Autonomous Vehicles (AV), but also makes them susceptible to backdoor attacks that can result in traffic congestion or collisions. Backdoor functionality is typically incorporated by contaminating training …
-
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning
2023 · arXiv (Cornell University)
Federated Learning (FL) enables collaborative deep learning training across multiple participants without exposing sensitive personal data. However, the distributed nature of FL and the unvetted participants' data makes it vulnerable to backdoor attacks. In these …