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cyberintel.kalymoon.com · 2928 articles · updated every 4 hours · grows forever
We're expanding Personal Intelligence across AI Mode in Search, the Gemini app and Gemini in Chrome.
Google is making new investments, building new tools and developing code security to improve open source security.
Request for Proposals Deadline: Tuesday, May 26, 2026 Schmidt Sciences invites proposals for a pilot program in AI interpretability. We seek new methods for detecting and mitigating deceptive behavior…
The Pentagon is discussing plans to set up secure environments for generative AI companies to train military-specific versions of their models on classified data, MIT Technology Review has learned. AI…
arXiv:2603.15649v1 Announce Type: new Abstract: This paper presents a federated learning framework secured by quantum key distribution (QKD) for wireless channel estimation and radar spectrum sensing …
arXiv:2603.15679v1 Announce Type: new Abstract: The nature of personalized text-to-image models poses a unique safety challenge that generic context-blind methods are ill-equipped to handle. Such glob…
arXiv:2603.15684v1 Announce Type: new Abstract: Safety alignment in large language models is typically evaluated under isolated queries, yet real-world use is inherently multi-turn. Although multi-tur…
arXiv:2603.15692v1 Announce Type: new Abstract: Backdoor attacks compromise model reliability by using triggers to manipulate outputs. Trigger inversion can accurately locate these triggers via a gene…
arXiv:2603.15705v1 Announce Type: new Abstract: Over the past few years an increasing number of states in the US have adopted new privacy laws. The majority of these laws require compliance with unive…
arXiv:2603.15714v1 Announce Type: new Abstract: LLM based agents are increasingly deployed in high stakes settings where they process external data sources such as emails, documents, and code reposito…
arXiv:2603.15721v1 Announce Type: new Abstract: In decentralized web applications, users face an inherent conflict between public verifiability and personal privacy. To participate in regulated on-cha…
arXiv:2603.15727v1 Announce Type: new Abstract: Autonomous LLM-based agents increasingly operate as long-running processes forming densely interconnected multi-agent ecosystems, whose security propert…
arXiv:2603.15940v1 Announce Type: new Abstract: Vision-language models (VLMs) have recently shown remarkable capabilities in visual understanding and generation, but remain vulnerable to adversarial m…
arXiv:2603.16058v1 Announce Type: new Abstract: Always-on hardware Trojans pose a serious challenge to integrated circuit trust, as they remain active during normal operation and are difficult to dete…
arXiv:2603.16068v1 Announce Type: new Abstract: Given limited and costly computational infrastructure, resource efficiency is a key requirement for large language models (LLMs). Efficient LLMs increas…
arXiv:2603.16117v1 Announce Type: new Abstract: We construct a lattice-based ciphertext-policy attribute-based encryption (CP-ABE) scheme for $\mathsf{NC}^1$ access policies with constant-size ciphert…
arXiv:2603.16267v1 Announce Type: new Abstract: Disjunctive Hierarchical Secret Sharing (DHSS)} scheme is a type of secret sharing scheme in which the set of all participants is partitioned into disjo…
arXiv:2603.16320v1 Announce Type: new Abstract: Central Bank Digital Currencies (CBDCs) are proposed as a public response to the uptake of privately run digital payments, with the digital euro, under …
arXiv:2603.16342v1 Announce Type: new Abstract: The proliferation of large-scale IoT networks has been both a blessing and a curse. Not only has it revolutionized the way organizations operate by incr…
arXiv:2603.16349v1 Announce Type: new Abstract: Solana is rapidly gaining traction among smart contract developers and users. However, its growing adoption has been accompanied by a series of major se…
arXiv:2603.16364v1 Announce Type: new Abstract: Ransomware continues encrypting files during the delay between attack onset and detection. ROFBS mitigates this problem by backing up pre-modification f…
arXiv:2603.16382v1 Announce Type: new Abstract: Hardware faults, specifically bit-flips in quantized weights, pose a severe reliability threat to Large Language Models (LLMs), often triggering catastr…