Michèle Finck

12 papers A* 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data.
CoRR
Henrik Nolte, Michèle Finck, Kristof Meding
2025 — conf
Robustness and Cybersecurity in the EU Artificial Intelligence Act.
FAccT
Henrik Nolte, Miriam Rateike, Michèle Finck
2025 J jnl
Robustness and Cybersecurity in the EU Artificial Intelligence Act.
CoRR
Henrik Nolte, Miriam Rateike, Michèle Finck
2024 J jnl
Successful implementation of the EU AI Act requires interdisciplinary efforts.
Nat. Mac. Intell.
Christian Montag, Michèle Finck
2023 J jnl
Regulating data intermediaries: The impact of the Data Governance Act on the EU's data economy.
Comput. Law Secur. Rev.
Gabriele Carovano, Michèle Finck
2022 — conf
Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization.
FAccT
Divya Shanmugam, Fernando Diaz, Samira Shabanian, Michèle Finck, Asia Biega
2022 — conf
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts.
FAccT
Sebastian Bordt, Michèle Finck, Eric Raidl, Ulrike von Luxburg
2022 J jnl
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts.
CoRR
Sebastian Bordt, Michèle Finck, Eric Raidl, Ulrike von Luxburg
2021 J jnl
Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice.
CoRR
Divya Shanmugam, Samira Shabanian, Fernando Diaz, Michèle Finck, Asia Biega
2021 J jnl
Reviving Purpose Limitation and Data Minimisation in Personalisation, Profiling and Decision-Making Systems.
CoRR
Michèle Finck, Asia Biega
2020 A* conf
Operationalizing the Legal Principle of Data Minimization for Personalization.
SIGIR
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck
2020 J jnl
Operationalizing the Legal Principle of Data Minimization for Personalization.
CoRR
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck