activity
20152023
most citedFairTest: Discovering Unwarranted Associations in Data-Driven Applications

23 citations · 58 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CR2023

FineIBT: Fine-grain Control-flow Enforcement with Indirect Branch Tracking

Alexander J. Gaidis, Joao Moreira, Ke Sun +3

We present the design, implementation, and evaluation of FineIBT: a CFI enforcement mechanism that improves the precision of hardware-assisted CFI solutions, like Intel IBT, by ins…

cs.CR2022★ 4 cited

IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks

Neophytos Christou, Di Jin, Vaggelis Atlidakis +2

We present IvySyn, the first fully-automated framework for discovering memory error vulnerabilities in Deep Learning (DL) frameworks. IvySyn leverages the statically-typed nature o…

cs.SE2020★ 22 cited

Pythia: Grammar-Based Fuzzing of REST APIs with Coverage-guided Feedback and Learning-based Mutations

Vaggelis Atlidakis, Roxana Geambasu, Patrice Godefroid +2

This paper introduces Pythia, the first fuzzer that augments grammar-based fuzzing with coverage-guided feedback and a learning-based mutation strategy for stateful REST API fuzzin…

cs.SE2018★ 9 cited

REST-ler: Automatic Intelligent REST API Fuzzing

Vaggelis Atlidakis, Patrice Godefroid, Marina Polishchuk

Cloud services have recently exploded with the advent of powerful cloud-computing platforms such as Amazon Web Services and Microsoft Azure. Today, most cloud services are accessed…

stat.ML2018

Certified Robustness to Adversarial Examples with Differential Privacy

Mathias Lecuyer, Vaggelis Atlidakis, Roxana Geambasu +2

Adversarial examples that fool machine learning models, particularly deep neural networks, have been a topic of intense research interest, with attacks and defenses being developed…

cs.CY2015★ 23 cited

FairTest: Discovering Unwarranted Associations in Data-Driven Applications

Florian Tramèr, Vaggelis Atlidakis, Roxana Geambasu +5

In a world where traditional notions of privacy are increasingly challenged by the myriad companies that collect and analyze our data, it is important that decision-making entities…