Ari Karchmer

15 papers A* 2A 1B 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Covert Quantum Learning: Privately and Verifiably Learning from Quantum Data.
CoRR
Abhishek Anand, Matthias C. Caro, Ari Karchmer, Saachi Mutreja
2025 J jnl
Efficiently Verifiable Proofs of Data Attribution.
CoRR
Ari Karchmer, Martin Pawelczyk, Seth Neel
2025 A* conf
The Power of Random Features and the Limits of Distribution-Free Gradient Descent.
ICML
Ari Karchmer, Eran Malach
2025 J jnl
The Power of Random Features and the Limits of Distribution-Free Gradient Descent.
CoRR
Ari Karchmer, Eran Malach
2024 B conf
Agnostic Membership Query Learning with Nontrivial Savings: New Results and Techniques.
ALT
Ari Karchmer
2024 A conf
Distributional PAC-Learning from Nisan's Natural Proofs.
ITCS
Ari Karchmer
2024 A* conf
On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning.
ICML
Ari Karchmer
2024 J jnl
On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning.
CoRR
Ari Karchmer
2023 J jnl
Agnostic Membership Query Learning with Nontrivial Savings: New Results, Techniques.
CoRR
Ari Karchmer
2023 J jnl
Average-Case PAC-Learning from Nisan's Natural Proofs.
Electron. Colloquium Comput. Complex.
Ari Karchmer
2023 J jnl
Distributional PAC-Learning from Nisan's Natural Proofs.
CoRR
Ari Karchmer
2023 — conf
Theoretical Limits of Provable Security Against Model Extraction by Efficient Observational Defenses.
SaTML
Ari Karchmer
2022 J jnl
The Limits of Provable Security Against Model Extraction.
IACR Cryptol. ePrint Arch.
Ari Karchmer
2021 — conf
Covert Learning: How to Learn with an Untrusted Intermediary.
TCC (3)
Ran Canetti, Ari Karchmer
2021 J jnl
Covert Learning: How to Learn with an Untrusted Intermediary.
IACR Cryptol. ePrint Arch.
Ran Canetti, Ari Karchmer