On the Impossibility of Simulation Security for Quantum Functional Encryption

Functional encryption is a powerful cryptographic primitive that enables fine-grained access to encrypted data and underlies numerous applications. Although the ideal security notion for FE simulation security has been shown to be impossible in the classical setting, those impossibility results...

Multi-Copy Security in Unclonable Cryptography

Unclonable cryptography leverages the quantum no-cloning principle to copy-protect cryptographic functionalities. While most existing works address the basic single-copy security, the stronger notion of multi-copy security remains largely unexplored. We introduce a generic compiler that upgrades...

Privacy-Preserving Federated Learning against Malicious Clients Based on Verifiable Functional Encryption

Federated learning is a promising distributed learning paradigm that enables collaborative model training without exposing local client data, thereby protect data privacy. However, it also brings new threats and challenges. The advancement of model inversion attacks has rendered the plaintext...

Decentralized Multi-Authority Attribute-Based Inner-Product Functional Encryption: Noisy and Evasive Constructions from Lattices

We study multi-authority attribute-based functional encryption for noisy inner-product functionality, and propose two new primitives: 1 multi-authority attribute-based noisy inner-product functional encryption MA-ABNIPFE, which generalizes existing multi-authority attribute-based IPFE schemes by...

Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning

Functional encryption FE has recently attracted interest in privacy-preserving machine learning PPML for its unique ability to compute specific functions on encrypted data. A related line of work focuses on noisy FE, which ensures differential privacy in the output while keeping the data encrypte...

Leveraging Functional Encryption and Deep Learning for Privacy-Preserving Traffic Forecasting

Over the past few years, traffic congestion has continuously plagued the nation's transportation system creating several negative impacts including longer travel times, increased pollution rates, and higher collision risks. To overcome these challenges, Intelligent Transportation Systems ITS aim ...

Software Obfuscation Mechanism Hampers Reverse Engineering

Researchers at UCLA said they’ve developed a game-changing obfuscation mechanism that will put a dent in hackers’ efforts to reverse engineer patches and understand how an underlying piece of software works. “You write your software in a nice, reasonable, human-understandable way and then feed th...