Max Mühlhäuser

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Computer Networks and Communications — 36 citations into it
• Signal Processing — 17 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Information Systems — 8 citations into it

Whom Max Mühlhäuser trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Reza Shokri
2. Frédéric Cuppens
3. Antony Ian Taylor Rowstron
4. Sergio Angel Marti

Papers from Max Mühlhäuser's perspective

Ordered by how strongly the researchers Max Mühlhäuser trusts endorse each paper. Same corpus, a different order for every researcher.

1. Membership Inference Attacks Against Machine Learning Models
2. Privacy-preserving deep learning
3. Communication-Efficient Learning of Deep Networks from Decentralized Data
4. Practical Secure Aggregation for Privacy-Preserving Machine Learning
5. The Sybil Attack
6. Exploiting Unintended Feature Leakage in Collaborative Learning
7. Gradient-based learning applied to document recognition
8. Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
9. ImageNet classification with deep convolutional neural networks
10. Managing alerts in a multi-intrusion detection environment (Seventeenth Annual Computer Security Applications Conference)

Their papers

• Enhancing Privacy via Hierarchical Federated Learning (2020) — 57 citations
• Online Resource Allocation for Arbitrary User Mobility in Distributed Edge Clouds (2017) — 102 citations
• Taxonomy and Survey of Collaborative Intrusion Detection (2015) — 322 citations