Victor Balcer

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #8,652 of 35,345 by trust here, #18,186 by citations
• Privacy & Security — 37 citations into it; #218 of 709 by trust here, #478 by citations
• Computational Theory and Mathematics — 7 citations into it
• Sociology and Political Science — 5 citations into it

Whom Victor Balcer trusts overall

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

1. Badih Ghazi
2. Borja Balle
3. Cynthia Dwork
4. Kobbi Nissim
5. Ú. Erlingsson
6. Adam D. Smith
7. Raef Bassily
8. Albert Cheu
9. Noah Golowich
10. Rasmus Pagh

Who trusts Victor Balcer overall

1. Albert Cheu
2. Peter Kairouz
3. Badih Ghazi
4. Amos Beimel
5. Ravi Kumar
6. Ken Ziyu Liu
7. Jonathan Ullman
8. Maxim Zhilyaev
9. Thomas Steinke
10. Pasin Manurangsi

Papers from Victor Balcer's perspective

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

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

Their papers

• Separating Local & Shuffled Differential Privacy via Histograms (2019) — 78 citations
• Connecting Robust Shuffle Privacy and Pan-Privacy (2020) — 47 citations