Abdul Rahman Taleb

dblp:267/7955 · DBLP profile ↗
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11ranked-venue papers
1as first author
9since 2021 · last 2025
0009-0007-5725-8474ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 9 · 8 since 2021Artificial intelligence and machine learning · 1Theory of computation · 1 · 1 first-author · 1 since 2021
YearPublicationVenuePosition
2025 A Tale of Two Worlds, a Formal Story of WireGuard Hybridization
Pascal Lafourcade 0001, Dhekra Mahmoud, Sylvain Ruhault, Abdul Rahman Taleb
USENIX Security Symposium4
2024 Formal Definition and Verification for Combined Random Fault and Random Probing Security
Sonia Belaïd, Jakob Feldtkeller, Tim Güneysu, Anna Guinet, Jan Richter-Brockmann, Matthieu Rivain, Pascal Sasdrich, Abdul Rahman Taleb
ASIACRYPT (7)8
2024 Quarantined-TreeKEM: A Continuous Group Key Agreement for MLS, Secure in Presence of Inactive Users
abstract
The recently standardized secure group messaging protocol Messaging Layer Security (MLS) is designed to ensure asynchronous communications within large groups, with an almost-optimal communication cost and the same security level as point-to-point secure messaging protocols such as Signal. In particular, the core sub-protocol of MLS, a Continuous Group Key Agreement (CGKA) called TreeKEM, must generate a common group key that respects the fundamental security properties of post-compromise security and forward secrecy which mitigate the effects of user corruption over time
Céline Chevalier, Guirec Lebrun, Ange Martinelli, Abdul Rahman Taleb
CCS4
2023 Unifying Freedom and Separation for Tight Probing-Secure Composition
Sonia Belaïd, Gaëtan Cassiers, Matthieu Rivain, Abdul Rahman Taleb
CRYPTO (3)4
2023 VerifMSI: Practical Verification of Hardware and Software Masking Schemes Implementations
abstract
International audience
Quentin L. Meunier, Abdul Rahman Taleb
SECRYPT2
2022 IronMask: Versatile Verification of Masking Security
abstract
This paper introduces lronMask, a new versatile verification tool for masking security. lronMask is the first to offer the verification of standard simulation-based security notions in the probing model as well as recent composition and expandability notions in the random probing model. It supports any masking gadgets with linear randomness (e.g. addition, copy and refresh gadgets) as well as quadratic gadgets (e.g. multiplication gadgets) that might include non-linear randomness (e.g. by refreshing their inputs), while providing complete verification results for both types of gadgets. We achieve this complete verifiability by introducing a new algebraic characterization for such quadratic gadgets and exhibiting a complete method to determine the sets of input shares which are necessary and sufficient to perform a perfect simulation of any set of probes. We report various benchmarks which show that lronMask is competitive with state-of-the-art verification tools in the probing model (maskVerif, scVerif, SILVEH, matverif). lronMask is also several orders of magnitude faster than VHAPS -the only previous tool verifying random probing composability and expandability- as well as SILVEH -the only previous tool providing complete verification for quadratic gadgets with nonlinear randomness. Thanks to this completeness and increased performance, we obtain better bounds for the tolerated leakage probability of state-of-the-art random probing secure compilers.
Sonia Belaïd, Darius Mercadier, Matthieu Rivain, Abdul Rahman Taleb
SP4
2021 Dynamic Random Probing Expansion with Quasi Linear Asymptotic Complexity
Sonia Belaïd, Matthieu Rivain, Abdul Rahman Taleb, Damien Vergnaud
ASIACRYPT (2)3
2021 On the Power of Expansion: More Efficient Constructions in the Random Probing Model
Sonia Belaïd, Matthieu Rivain, Abdul Rahman Taleb
EUROCRYPT (2)3
2021 Speeding-up verification of digital signatures
Abdul Rahman Taleb, Damien Vergnaud
J. Comput. Syst. Sci.1
2020 Random Probing Security: Verification, Composition, Expansion and New Constructions
Sonia Belaïd, Jean-Sébastien Coron, Emmanuel Prouff, Matthieu Rivain, Abdul Rahman Taleb
CRYPTO (1)5
2020 Age estimation from faces using deep learning: A comparative analysis
Alice Othmani, Abdul Rahman Taleb, Hazem Abdelkawy, Abdenour Hadid
Comput. Vis. Image Underst.2