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Michael Aerni
Michael Aerni
Doctoral student at Secure and Private AI (SPY) Lab, ETH Zurich
Verified email at inf.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Evaluations of Machine Learning Privacy Defenses are Misleading
M Aerni, J Zhang, F Tramèr
ACM SIGSAC Conference on Computer and Communications Security, 1271-1284, 2024
182024
Interpolation can hurt robust generalization even when there is no noise
K Donhauser, A Tifrea, M Aerni, R Heckel, F Yang
Advances in Neural Information Processing Systems 34, 23465-23477, 2021
142021
Strong inductive biases provably prevent harmless interpolation
M Aerni, M Milanta, K Donhauser, F Yang
International Conference on Learning Representations (ICLR), 2023
102023
Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
M Aerni, J Rando, E Debenedetti, N Carlini, D Ippolito, F Tramèr
arXiv preprint arXiv:2411.10242, 2024
2024
Maximizing the robust margin provably overfits on noiseless data
K Donhauser, A Tifrea, M Aerni, R Heckel, F Yang
ICML 2021 Workshop on Adversarial Machine Learning, 2021
2021
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