activity
20102024
most citedQuantifying the Information Leak in Cache Attacks through Symbolic Execution

3 citations · 6 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2024

Formal Local Implication Between Two Neural Networks

Anahita Baninajjar, Ahmed Rezine, Amir Aminifar

Given two neural network classifiers with the same input and output domains, our goal is to compare the two networks in relation to each other over an entire input region (e.g., wi…

cs.LG2023

VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees

Anahita Baninajjar, Ahmed Rezine, Amir Aminifar

Machine learning techniques often lack formal correctness guarantees, evidenced by the widespread adversarial examples that plague most deep-learning applications. This lack of for…

cs.PL2018

On Reachability in Parameterized Phaser Programs

Zeinab Ganjei, Ahmed Rezine, Ludovic Henrio +2

We address the problem of statically checking safety properties (such as assertions or deadlocks) for parameterized phaser programs. Phasers embody a non-trivial and modern synchro…

cs.PL2017★ 2 cited

Safety Verification of Phaser Programs

Zeinab Ganjei, Ahmed Rezine, Petru Eles +1

We address the problem of statically checking control state reachability (as in possibility of assertion violations, race conditions or runtime errors) and plain reachability (as i…

cs.CR2016★ 3 cited

Quantifying the Information Leak in Cache Attacks through Symbolic Execution

Sudipta Chattopadhyay, Moritz Beck, Ahmed Rezine +1

Cache timing attacks allow attackers to infer the properties of a secret execution by observing cache hits and misses. But how much information can actually leak through such attac…

cs.LO2013

Proceedings 14th International Workshop on Verification of Infinite-State Systems

Mohamed Faouzi Atig, Ahmed Rezine

This volume contains the proceedings of Infinity'12, the 14th International Workshop on Verification of Infinite-State Systems, which was held in Paris, France on the 27th of Augus…