Antonio Marcedone

Privacy & Security · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Privacy & Security — 29 citations into it; #458 of 709 by trust here, #51 by citations

Whom Antonio Marcedone trusts overall

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

1. Johannes Blömer
2. David Chaum

Who trusts Antonio Marcedone overall

1. Lingjuan Lyu
2. Luca Melis
3. Peter Kairouz

Papers from Antonio Marcedone's perspective

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

1. Differential Privacy
2. Deep Learning
3. New Directions in Cryptography
4. Deep Learning with Differential Privacy
5. Privacy-preserving deep learning
6. Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
7. Revisiting Distributed Synchronous SGD
8. How to play ANY mental game
9. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
10. Completeness theorems for non-cryptographic fault-tolerant distributed computation

Their papers

• Practical Secure Aggregation for Privacy-Preserving Machine Learning (2017) — 4,229 citations
• Practical Secure Aggregation for Federated Learning on User-Held Data (2016) — 662 citations