OPFL is a verification framework for privacy-preserving federated learning that replays client training inside secure multi-party computation to detect malicious updates like model…

#FederatedLearning #MachineLearning #PrivacyPreservingAI #SecureComputation
https://arxiv.org/abs/2609.37011

Kicking off the session was Woo et al.'s "PIM-ORAM: Towards Oblivious RAM Primitives in Commodity Processing-In-Memory," bringing secure, parallel in-memory ORAM closer to practical use. (www.acsac.org/2025/p...) 2/5
#ObliviousRAM #SecureComputation

Secure Multi-Party Computation: Revolutionizing Privacy in Machine Learning

What is Secure Multi-Party Computation (SMPC)? #dataprivacy #privacyinML #privacypreservingAI #privacypreservingmachinelearning #securecomputation #secureML #SecureMultiPartyComputation
aicompetence.org/how-secure-m...

Opening the session was Zheng et al.'s "Secure Softmax/Sigmoid for Machine-learning Computation," exploring numerical approximations to improve efficiency and accuracy in secure computation. (www.acsac.org/2023/p...) 2/4
#MachineLearning #SecureComputation #MultipartyComputation

Introduces verifiable protocol for multi-party quantum private set operations combining threshold and quantum FHE, enabling secure computation with detection of malicious third-party behavior and resilience against participant collusion.

#QuantumCryptography #SecureComputation #Research

First experimental QOT using adapted QKD + bit commitment surpasses noisy storage model security. Applied to private set intersection: two banks identified common suspicious accounts without disclosing other data, demonstrating real-world viability.

#QuantumCryptography #SecureComputation #News

Investing in Zero-Knowledge Ecosystem Dev Tools #Web3investmentthesis #cryptographytools #ZeroKnowledgeProofs #L2scalingsolutions #securecomputation #zksnarks #investinginweb3infrastructure #blockchaindevelopertools #ZKdevelopmentframeworks #ZKSTARKs