Alice Dethise

Researcher, Nokia networks GmbH

Joined

May 2022

Names

Alice Dethise (Preferred)

Arnaud Dethise

Emails

****@kaust.edu.sa (Confirmed)

****@nokia-bell-labs.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

Researcher

Nokia networks GmbH (nokia-bell-labs.com)

2023 – Present

PhD student

King Abdullah University of Science and Technology (kaust.edu.sa)

2017 – 2023

MS student

UCLouvain (uclouvain.be)

2015 – 2017

Undergrad student

UCLouvain (uclouvain.be)

2012 – 2015

Advisors, Relations & Conflicts

PhD Advisor

Marco Canini

2017 – 2023

Expertise

No areas of expertise listed

Publications

Defeating Cerberus: Concept-Guided Privacy-Leakage Mitigation in Multimodal Language Models
Boyang Zhang, Istemi Ekin Akkus, Ruichuan Chen, Alice Dethise, Klaus Satzke, Ivica Rimac, Yang Zhang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Continuous Exact Explanations of Neural Networks
Alice Dethise, Marco Canini
- ICDM 2024
- Readers: Everyone
Protecting Confidentiality, Privacy and Integrity in Collaborative Learning
Dong Chen, Alice Dethise, Istemi Ekin Akkus, Ivica Rimac, Klaus Satzke, Antti Koskela, Marco Canini, Wei Wang, Ruichuan Chen
- CoRR 2024
- Readers: Everyone
On Detecting Biased Predictions with Post-hoc Explanation Methods
Matteo Ruggeri, Alice Dethise, Marco Canini
- SAFE@CoNEXT 2023
- Readers: Everyone
Interpretation, Verification and Privacy Techniques for Improving the Trustworthiness of Neural Networks
Arnaud Dethise
- undefined 2023
- Readers: Everyone
SAGE: Software-based Attestation for GPU Execution
Andrei Ivanov, Benjamin Rothenberger, Arnaud Dethise, Marco Canini, Torsten Hoefler, Adrian Perrig
- USENIX ATC 2023
- Readers: Everyone
SAGE: Software-based Attestation for GPU Execution
Andrei Ivanov, Benjamin Rothenberger, Arnaud Dethise, Marco Canini, Torsten Hoefler, Adrian Perrig
- 2022 (modified: 29 Mar 2023)
- CoRR 2022
- Readers: Everyone
Analyzing Learning-Based Networked Systems with Formal Verification
Arnaud Dethise, Marco Canini, Nina Narodytska
- 2021 (modified: 29 Mar 2023)
- INFOCOM 2021
- Readers: Everyone
Cracking Open the Black Box: What Observations Can Tell Us About Reinforcement Learning Agents
Arnaud Dethise, Marco Canini, Srikanth Kandula
- 2019 (modified: 29 Mar 2023)
- NetAI@SIGCOMM 2019
- Readers: Everyone
Prelude: Ensuring Inter-Domain Loop-Freedom in SDN-Enabled Networks
Arnaud Dethise, Marco Chiesa, Marco Canini
- 2018 (modified: 29 Mar 2023)
- APNet 2018
- Readers: Everyone

View all 12 publications