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Secure and Efficient Learning: approaches, techniques and threats


1-2 Decembre 2021

Lang EN Workshop language is English
Responsable de l'activité



Dr Valerio Schiavoni, UniNE

Pr Christian Cachin, UniBE


Dr Giorgia Marson, NEC Labs, Germany

Dr Sonia Ben Mokhtar, University of Lyon, LIRIS, CNRS, France. Bio: Sonia Ben Mokhtar has been a CNRS researcher at the LIRIS lab since October 2009. Since 2017, she is also the leader of the distributed systems and information retrieval group (DRIM). Before joining CNRS, She was a research associate at University College London (UCL) for two years, working with Licia Capra. She received her PhD in 2007 from University Pierre et Marie Curie (Paris 6), under the supervision of Valérie Issarny and Nikolaos Georgantas in the former INRIA ARLES project-team (currently MiMove).

Dr Mathias Humbert, ARMASUISSE, Switzerland. Bio: Mathias Humbert is a scientific project manager at the Cyber-Defence Campus (Switzerland) and will join the University of Lausanne as an associate professor in November 2021. Prior to this, he was a senior data scientist at the Swiss Data Science Center (ETH Zurich, EPFL) and a post-doctoral researcher at the Center for IT-Security, Privacy, and Accountability (CISPA) in Saarbrücken, Germany. He completed his Ph.D. thesis on privacy protection in early 2015 in the School of Computer and Communication Sciences at EPFL, after M.Sc. (2009) and B.Sc. (2007) studies at EPFL and UC Berkeley. He is a recipient of the NDSS 2019 distinguished paper award.

Pr Alain Tchana, ENS-Lyon, France . Bio: I studied in Cameroon (Africa) until 2008. I am graduated from University of Yaoundé I. Then I received my PhD in computer science in 2011, at the IRIT laboratory, Institut National Polytechnique de Toulouse, France. Since September 2019 I'm a Full Professor at Ecole Normale Supérieure de Lyon, France. My main research interests are in Virtualization, Operating Systems, and Cloud Computing in general. Currently, I am mainly interested in datacenter disaggregation, storage, virtualization of hardware features for virtualization and, in securing applications. Simply, I'm the Systems guy!

Dr Vlad Nitu, CNRS, INSA-Lyon, France. Bio: Vlad Nitu is a junior researcher (chargé de recherche) at The French National Centre for Scientific Research, working on the energy-efficiency and the robustness of Federated Learning. Previously, he was a Postdoctoral Researcher at EPFL - Lausanne, working in the team of Prof. Rachid Guerraoui. Vlad obtained his PhD from Toulouse University under the supervision of Prof. Daniel Hagimont and Prof. Alain Tchana on the energy-efficiency of virtualized cloud datacenters.

Peterson Yuhala, UniNE, Switzerland. Bio :Peterson Yuhala received his Computer Engineering diploma from the National Advanced School of Engineering, Cameroon, in 2018. He is presently a third year PhD student at the University of Neuchatel, Switzerland, under the supervision of Prof. Pascal Felber, Dr. Valerio Schiavoni and Prof. Alain Tchana. His research interests are in efficient privacy preserving computation with trusted execution environments (TEEs) and persistent memory (PM).


This CUSO seminar will revolve around security and dependability concerns in the context of machine learning. In particular, our speakers will engage with students presenting recent research works on a set of highly correlated domains, as well as offering interactive sessions.

While the exact topics have yet to be finalized, we prospect the following ones.

Dr Mathias Humbert: ML and privacy (TBA).

 Dr Sonia Ben Mokhtar will offer a lecture on privacy threats for federated learning schemes, as well as surveying some of the possible attacks that such decentralized systems can suffer.

Dr Vlad Nitu, in the same team as Dr Sonia Ben Mokhtar, will describe the challenges in designing energy-efficient machine learning systems in particular when deployed at the edge.

Dr Giorgia Azzurra Marson: evasion attacks and corresponding defensive mechanisms.

 Pr Alain Tchana will present his recent work on Plinius, a system that leverages TEEs to shield models from malicious or compromised systems that can be used over untrusted cloud providers. In addition, we intend to offer a live and interactive session on how to use this system, given by Peterson Yuhala, PhD student at the University of Neuchatel.


Lectures will be in person-only. All lectures will happen in the UniMAIL building, Room E-216.

Exact schedule yet to be finalized.


Neuchatel, UniMail Building (or online if sanitary conditions prevent physical meetings)





Deadline for registration 01.12.2021

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