معرفی
Tal Malkin is a Professor at Columbia University's Department of Computer Science, School of Engineering and Applied Science. Her work spans cryptography, secure computation, and data privacy, with a focus on non-malleable codes, topology-hiding communication, and privacy-preserving protocols.
- 2025: Peony Onion Encryption for asynchronous anonymity
- 2024: Structural lower bounds for pseudorandom functions
- 2022: XSPIR for Ring-LWE-based private retrieval
Research themes include:
- Cryptographic Foundations: Non-malleability, garbling circuits, and zero-knowledge protocols
- Privacy-Preserving Systems: Differential privacy, secure multi-party computation, and database anonymity
- Applied Security: Biometric encryption, model watermarking, and polymer-based unclonable functions
Her 15 most recent publications analyze anonymity in dynamic networks, robust watermarks for AI models, and tamper-resilient encryption. Keywords span computer science, cryptography, and machine learning. Sub-fields include secure computation, lattice-based cryptography, and function-private protocols.
۰مقاله ثبتشده
