Liran Lerman

Thales (Belgium) — Belgium

Computer Science · Physical Sciences

12h-index765citations28works0.02yr avg
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Research Topics

Cryptographic Implementations and Security(25), Advanced Malware Detection Techniques(15), Chaos-based Image/Signal Encryption(14), Physical Unclonable Functions (PUFs) and Hardware Security(13), Coding theory and cryptography(5)

Publications28 total

Location, Location, Location: Revisiting Modeling and Exploitation for Location-Based Side Channel Leakages
Lecture notes in computer science·2019· 8 cited
Higher order side-channel attack resilient S-boxes
2018· 4 cited
Higher Order Side-Channel Attacks Resilient S-boxes.
IACR Cryptology ePrint Archive·2018
Start Simple and then Refine: Bias-Variance Decomposition as a Diagnosis Tool for Leakage Profiling
IEEE Transactions on Computers·2017· 12 citedOpen Access
Location-based leakages: New directions in modeling and exploiting
2017· 1 cited
Template attacks versus machine learning revisited and the curse of dimensionality in side-channel analysis: extended version
Journal of Cryptographic Engineering·2017· 48 citedOpen Access
On the Construction of Side-Channel Attack Resilient S-boxes
Lecture notes in computer science·2017· 12 cited
Variety of Scalable Shuffling Countermeasures against Side Channel Attacks
Journal of Cyber Security and Mobility·2017· 5 citedOpen Access
Comparing Sboxes of ciphers from the perspective of side-channel attacks
2016· 7 cited
Variety of Scalable Shuffling Countermeasures against Side Channel Attacks
Journal of Cyber Security and Mobility·2016· 1 citedOpen Access
Robust profiled attacks: should the adversary trust the dataset?
IET Information Security·2016· 10 citedOpen Access
Breaking Kalyna 128/128 with Power Attacks
Lecture notes in computer science·2016· 2 cited
The bias–variance decomposition in profiled attacks
Journal of Cryptographic Engineering·2015· 16 cited
A machine learning approach for automatic and generic side-channel attacks
Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles)·2015Open Access
Template Attacks vs. Machine Learning Revisited (and the Curse of Dimensionality in Side-Channel Analysis)
Lecture notes in computer science·2015· 120 citedOpen Access
A machine learning approach against a masked AES
Journal of Cryptographic Engineering·2014· 150 cited
A Machine Learning Approach Against a Masked AES
Lecture notes in computer science·2014· 22 cited
A Machine Learning Approach Against a Masked AES
Lecture notes in computer science·2014· 55 cited
Power analysis attack: an approach based on machine learning
International Journal of Applied Cryptography·2014· 129 cited
Side Channel Attack [R package sideChannelAttack version 1.0-6]
2013
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Frequent Co-authors

Gianluca Bontempi(14), Olivier Markowitch(13), Nikita Veshchikov(11), Olivier Markowitch(10), Stéphane Fernandes Medeiros(7), François‐Xavier Standaert(3), Stjepan Picek(3), Romain Poussier(2), Cédric Meuter(2), Souhaib Ben Taieb(2), Christos Andrikos(2), Lejla Batina(2), Kostas Papagiannopoulos(2), Giorgos Rassias(2), Zdeněk Martinásek(1), Łukasz Chmielewski(1), Vasilios Mavroudis(1), Guilherme Perin(1), Alberto Sonnino(1), J. Nakahara(1)