Jason V. Mancuso

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Privacy & Security — 13 citations into it
• Information Systems — 10 citations into it
• Computational Theory and Mathematics — 8 citations into it

Whom Jason V. Mancuso trusts overall

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

1. Payman Mohassel
2. Ivan Bjerre Damgård
3. Martín Abadi

Papers from Jason V. Mancuso's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet: A large-scale hierarchical image database
3. SecureML: A System for Scalable Privacy-Preserving Machine Learning
4. Deep Learning with Differential Privacy
5. Membership Inference Attacks Against Machine Learning Models
6. TensorFlow: A system for large-scale machine learning
7. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
8. ABY3: A Mixed Protocol Framework for Machine Learning
9. Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
10. Communication-Efficient Learning of Deep Networks from Decentralized Data

Their papers

• A generic framework for privacy preserving deep learning (2018) — 495 citations
• End-to-end privacy preserving deep learning on multi-institutional medical imaging (2021) — 478 citations
• Private Machine Learning in TensorFlow using Secure Computation (2018) — 86 citations