Bloom Filter Encryption and Applications to Efficient Forward-Secret 0-RTT Key Exchange
Explore innovative cryptographic techniques for efficient forward-secret 0-RTT key exchange using Bloom Filter Encryption, as presented at Eurocrypt 2018.
Non Malleable Secret Sharing for General Access Structures
Explore advanced cryptographic techniques for secure information sharing, focusing on non-malleable secret sharing schemes applicable to diverse access structures.
On the Local Leakage Resilience of Linear Secret Sharing Schemes
Explore local leakage resilience in linear secret sharing schemes, examining theoretical foundations and practical implications for secure data distribution.
Encrypt or Decrypt to Make a Single Key Beyond Birthday Secure Nonce Based MAC
Explore a cryptographic technique for creating a secure nonce-based MAC using a single key, offering beyond-birthday security through encryption or decryption methods.
Structured Encryption and Leakage Suppression
Explore advanced techniques in structured encryption and leakage suppression, focusing on enhancing data security and privacy in cryptographic systems.
Non Malleable Codes for Partial Functions with Manipulation Detection
Explore non-malleable codes for partial functions, their applications, and construction methods. Learn about challenges, admissible function classes, and implementations in various models.
Fully Homomorphic Encryption from the Ground Up
Explore the foundations and intricacies of Fully Homomorphic Encryption in this comprehensive talk by Daniele Micciancio, delving into advanced cryptographic concepts and their applications.
OptORAMa - Optimal Oblivious RAM
Optimal Oblivious RAM techniques for enhanced data privacy, exploring tight compaction, hierarchical structures, and innovative algorithms to minimize access pattern leakage in encrypted storage systems.
Crypto for the People
Explore the societal impact of cryptography and its potential for empowering marginalized communities in this thought-provoking talk by a leading researcher.
Secure Computation II
Explore advanced secure computation concepts, including information theory, MPC, ground complexity, fairness, and breakthrough results in cryptography.
Encryption Schemes
Learn about various encryption schemes, their applications, and the mathematical principles behind secure data protection in modern cryptography.
Multi-Party Computation I
Explore secure multi-party computation fundamentals, protocols, and applications in cryptography. Learn techniques for privacy-preserving collaborative computations.
Blockchains and Contact Tracing
Explore the intersection of blockchain technology and contact tracing, examining potential applications and implications for privacy and public health.
Multiparty Computation
Explore secure multiparty computation techniques for collaborative data analysis while preserving privacy in distributed settings.
Multi-Party Computation 2
Explore advanced concepts in multi-party computation, focusing on secure protocols for collaborative data analysis without compromising privacy.
Multi-Party Computation 3
Explore advanced multi-party computation techniques, including oblivious key-value stores, preprocessing methods, verification protocols, and adaptive security limitations.
Data-Driven Ecosystems in the Automotive Industry
Explore BMW's big data journey, technology stack, and real-world machine learning applications in the automotive industry, addressing challenges and innovative solutions.
Real Data vs. Anonymization
Explore data anonymization techniques and their impact on data quality, privacy, and utility in real-world applications. Learn to balance data protection with analytical value.
All Your Telemetry Data from Any Source in One Place
Learn to centralize telemetry data using OpenTelemetry standards and New Relic's platform. Hands-on labs cover data ingestion, visualization, and custom dashboard creation for efficient monitoring and issue resolution.
SecretFlow-SPU - A Performant and User-Friendly Framework for Privacy-Preserving Machine Learning
Explore SecretFlow-SPU, a framework for privacy-preserving machine learning that outperforms existing solutions and simplifies development for users without cryptography expertise.
Right to Not Broadcast
Explores the need for device connectivity control in an interconnected world, emphasizing privacy, security, and the right to protect personal data from unauthorized broadcasting.