Amer Sinha

Artificial Intelligence · 2021–2025

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Privacy & Security — 30 citations into it

Whom Amer Sinha trusts overall

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

1. Badih Ghazi
2. Ú. Erlingsson

Papers from Amer Sinha's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
3. Our Data, Ourselves: Privacy Via Distributed Noise Generation
4. What Can We Learn Privately?
5. Randomized response: a survey technique for eliminating evasive answer bias.
6. Deep Learning with Differential Privacy
7. Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
8. Distributed Private Data Analysis: On Simultaneously Solving How and What
9. The Privacy Blanket of the Shuffle Model
10. Collecting Telemetry Data Privately

Their papers

• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
• Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message (2021) — 45 citations