Privacy-Preserving Detection of Inter-Domain SDN Rules Overlaps. - Arnaud Dethise; Marco Chiesa; Marco Canini (SIGCOMM Posters and Demos, 2017)

Prelude: Ensuring Inter-Domain Loop-Freedom in SDN-Enabled Networks. - Arnaud Dethise; Marco Chiesa; Marco Canini (APNet, 2018)

Cracking Open the Black Box: What Observations Can Tell Us About Reinforcement Learning Agents. - Arnaud Dethise; Marco Canini; Srikanth Kandula (NetAI@SIGCOMM, 2019)

Analyzing Learning-Based Networked Systems with Formal Verification. - Arnaud Dethise; Marco Canini; Nina Narodytska (INFOCOM, 2021)

On Detecting Biased Predictions with Post-hoc Explanation Methods. - Matteo Ruggeri; Alice Dethise; Marco Canini (SAFE@CoNEXT, 2023)

SAGE: Software-based Attestation for GPU Execution. - Andrei Ivanov; Benjamin Rothenberger; Arnaud Dethise; Marco Canini; Torsten Hoefler; Adrian Perrig (USENIX ATC, 2023)

Interpretation, Verification and Privacy Techniques for Improving the Trustworthiness of Neural Networks. - Arnaud Dethise (2023)

Continuous Exact Explanations of Neural Networks. - Alice Dethise; Marco Canini (ICDM, 2024)

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 030; Ruichuan Chen (CoRR, 2024)