Confidential Computing Is Having a Moment The confidential computing space is experiencing a wave of innovation across ...
Abstract: With the rapid growth of edge AI applications, there is an increasing demand for federated learning (FL) frameworks that are both efficient and privacy-preserving. This work introduces a ...
By Hannah Lang NEW YORK, July 8 (Reuters) - The cryptocurrency industry is starting to prepare for the threat of quantum ...
The flaw, which impacted Amazon, Anthropic, Google, Cursor and others, let the agent give the human false information on ...
The ransomware’s use of trusted administrative tools and recovery-disruption tactics shows why containment, not just endpoint ...
Abstract: Distinguishing between benign and poisoned gradients hidden behind cryptographic masks is a critical challenge in privacy-preserving federated learning (FL). Existing robust aggregation ...
We argue multiparty homomorphic encryption fulfills legal requirements for medical data sharing under the European Union’s General Data Protection Regulation which has set a global benchmark for data ...
This paper proposes a unified post-quantum, privacy-preserving multimodal biometric authentication framework that integrates ML-KEM (Kyber-1024), a lattice-based post-quantum key encapsulation ...
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