World-leaders in Cryptography - Yuriy Polyakov
Explore lattice-based cryptography, homomorphic encryption, and privacy-preserving machine learning with Duality Technologies' VP of Cryptography, Yuriy Polyakov.
World-leaders in Cryptography - Kurt Rohloff
Explore homomorphic encryption with Kurt Rohloff, co-founder of PALISADE and OpenFHE libraries, and CTO of Duality Technologies. Gain insights into cutting-edge cryptographic advancements.
Cloud Security: Current Challenges, Emerging Technologies, and Recommendations
Explore cloud security challenges, emerging technologies, and practical recommendations to safeguard sensitive data and applications in rapidly evolving cloud environments.
Overcoming the Challenges of Data Sharing
Experts discuss advanced techniques for secure data sharing, including synthetic data, differential privacy, and federated analytics, addressing key challenges 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.
AI and Blockchain - Shaping the Future Through Synergistic Technologies
Explore how AI and blockchain technologies converge to create powerful synergies, examining their complementary strengths in data integrity, security, and decision-making capabilities.
Multi-Server Verifiable Computation of Low-Degree Polynomials
Explore efficient multi-server verifiable computation techniques for low-degree polynomials, including interpolation, curve intersecting, and surface translating methods, with performance analysis and experimental results.
Efficient Decentralized Federated Singular Vector Decomposition
Innovative system for efficient decentralized federated SVD, enhancing privacy and performance in distributed applications. Outperforms existing methods with significant speed improvements and larger throughput.
Storage Security - Past, Present, and Future
Explore the evolution of storage security from early SNIA initiatives to modern challenges, including data encryption, trustworthiness mechanisms, and future component-level protection strategies.
Simple Threshold Fully Homomorphic Encryption From LWE With Polynomial Modulus - Asiacrypt 2023
Explore a novel approach to threshold encryption using LWE with polynomial modulus, offering insights into advanced cryptographic techniques and their applications.
ALCHEMY - A Language and Compiler for Homomorphic Encryption Made Easy
Simplifying Fully Homomorphic Encryption with ALCHEMY: a modular system that compiles plaintext computations into homomorphic operations on ciphertexts, making FHE accessible without specialized knowledge.
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.
Secure Outsourced Matrix Computation and Application to Neural Networks
Explore practical solutions for encrypted matrix operations in homomorphic encryption, including novel encoding methods and efficient evaluation strategies for basic matrix arithmetic and neural networks.
Private Information Retrieval with Sublinear Online Time
Explore efficient private information retrieval protocols with sublinear online time, focusing on communication complexity, computation complexity, and security proofs in cryptographic systems.
Key-Homomorphic Pseudorandom Functions from LWE with Small Modulus
Explore key-homomorphic pseudorandom functions based on Learning With Errors, focusing on small modulus applications, security implications, and potential limitations in cryptographic systems.
Homomorphic Encryption - Nick Gonella
Explore homomorphic encryption's potential and limitations in cryptography, including RSA's workings, critical pitfalls, and its relation to the CIA Triad.
Homomorphic Encryption - A Community Effort
Explore the standardization of Homomorphic Encryption, its community efforts, workshops, and resources. Learn about the principles, history, and issues in this emerging field.
Fast Homomorphic Evaluation of Deep Discretized Neural Networks
Explore fast homomorphic evaluation techniques for deep discretized neural networks, focusing on digit recognition and addressing challenges in activation and dynamic message space.
ZeeStar - Private Smart Contracts by Homomorphic Encryption and Zero-Knowledge Proofs
Explore innovative privacy techniques for smart contracts using homomorphic encryption and zero-knowledge proofs, enhancing security and confidentiality in blockchain applications.
Emerging Cryptography: Impact on Security and Privacy
Exploring emerging cryptographic technologies and their potential impact on security and privacy, focusing on secure enclaves, homomorphic encryption, multiparty computation, and functional cryptography.
Homomorphic Encryption in the SPDZ Protocol for MPC
Explore homomorphic encryption in SPDZ protocol for secure multi-party computation, covering threshold encryption, distributed decryption, and zero-knowledge proofs for improved security and efficiency.