World-leaders in Cryptography - Phillip Rogaway
Dive into the groundbreaking work of cryptography pioneer Phillip Rogaway, exploring his contributions to random oracles, symmetric key modes, and ethical considerations in the field.
Protecting Sensitive Data and Machine Learning Models
Discover techniques for safeguarding sensitive data and ML models, enhancing privacy and security in Python-based AI applications.
Advanced Cryptography: Promise and Challenges
Explore advanced cryptography beyond communication security, including zero knowledge and secure multi-party computation. Learn about its potential, performance, and current usability challenges.
Fast Secure Computation for Small Population over the Internet
Explore efficient protocols for secure multiparty computation, focusing on fairness and guaranteed output delivery in 3-party and 4-party settings over the internet.
Secure Multi-Party Quantum Computation with a Dishonest Majority
Explore quantum multi-party computation protocols, focusing on Clifford codes, authentication tests, and magic-state generation for secure computations with dishonest participants.
Stacked Garbling for Disjunctive Zero-Knowledge Proofs
Explore advanced cryptographic techniques for disjunctive zero-knowledge proofs, focusing on stacked garbling and its applications in secure computation and privacy-preserving protocols.
Combiners for Functional Encryption, Unconditionally
Explore cryptographic combiners for functional encryption, focusing on new approaches and challenges in secure multi-party computation and input-local MPC.
Computer Aided Verification and Software Synthesis for Secure Multi Party Computation Protocols
Explore computer-aided verification and software synthesis for secure multi-party computation protocols, focusing on high-assurance implementations and formal proofs using EasyCrypt and automated toolchains.
SoK - General Purpose Frameworks for Secure Multi-Party Computation
Explore secure multi-party computation frameworks, their capabilities, and challenges. Learn about high-level abstractions for executing MPC protocols on arbitrary functions across various systems.
CrypTFlow - Secure TensorFlow Inference
Secure TensorFlow inference system converting code to MPC protocols. Enables privacy-preserving machine learning on real-world neural networks with improved performance and security guarantees.
No Data, No Problem - Giving Nuclear Inspectors Better Tools Without Revealing State Secrets
Explore privacy-preserving computation in nuclear safeguards, focusing on garbled circuits for anomaly detection without compromising sensitive information between inspectors and facilities.
Solving Private Set Intersection via Cuckoo Hashing - Benny Pinkas, Bar-Ilan University, Israel
Explore private set intersection protocols, including custom and generic MPC approaches, with a focus on Cuckoo hashing for efficient computation of PSI variants in cryptography and security.
Low-Communication Algorithms for Private Federated Data Analysis - Invited Talk
Low-communication algorithms for private federated data analysis, offering optimal accuracy guarantees while preserving privacy in distributed settings.
Decentralized Data Science Made Easy
Explore decentralized data science techniques and applications in this comprehensive talk, focusing on simplifying complex concepts for practical implementation.
Privacy Preserving Aggregate Statistics via Boolean Shares - Part 3
Privacy-preserving aggregate statistics using Boolean shares, enhancing the Prio system for improved data collection and analysis while maintaining user privacy.
Privacy-Preserving Machine Learning Workshop - Invited and Contributed Talks
Explore cutting-edge research in privacy-preserving machine learning with expert talks and contributions at PPML 2023, covering innovative techniques and advancements in the field.
Efficient MPC Constructions - Eurocrypt 2023 Session
Explore cutting-edge advancements in secure multi-party computation protocols, focusing on efficiency improvements and novel constructions in cryptography.
Multiparty Computation and Garbled Circuits - Session 204
Explore secure multiparty computation and garbled circuits, advanced cryptographic techniques for privacy-preserving collaborative computations and secure function evaluation.
Distributed Algorithms
Explore cutting-edge distributed algorithms in cryptography, discussing recent advancements and their implications for secure, decentralized systems.
Multi-Party Computation - Session 2
Explore advanced concepts in multi-party computation at TCC 2023, featuring cutting-edge research presentations and discussions on secure distributed computing protocols.
Data as a New Security Boundary - Cryptography and Supporting Controls
Explore data security through cryptography as a boundary, covering end-to-end encryption, application-level protection, and supporting controls for real-world implementation across various contexts.