cyberintel.kalymoon.com · 43435 articles · updated every 4 hours · grows forever
arXiv:2604.16834v1 Announce Type: new Abstract: Privacy-preserving machine learning (PPML) has become increasingly important in applications where sensitive data must remain confidential. Homomorphic …
arXiv:2604.16832v1 Announce Type: new Abstract: Timing side-channel attacks exploit variations in program execution time to recover sensitive information. Cryptographic implementations are especially …
arXiv:2604.16827v1 Announce Type: new Abstract: Academic examination systems worldwide continue to rely on centralised, opaque record-keeping that is often vulnerable to credential forgery, result tam…
arXiv:2604.16824v1 Announce Type: new Abstract: Multi-turn jailbreak attacks progressively erode LLM safety alignment across seemingly innocuous conversation turns, achieving success rates exceeding 9…
arXiv:2604.16762v1 Announce Type: new Abstract: Modern AI agents routinely depend on secrets such as API keys and SSH credentials, yet the dominant deployment model still exposes those secrets directl…
arXiv:2604.16760v1 Announce Type: new Abstract: Ransomware detection systems increasingly rely on behavior-based machine learning to address evolving attack strategies. However, emerging privacy compl…
arXiv:2604.16699v1 Announce Type: new Abstract: As Cyber-Physical Systems (CPS) become increasingly pervasive and autonomous, ensuring the resilience of their embedded logic is critical to maintaining…
arXiv:2604.16697v1 Announce Type: new Abstract: Large language models write production code, and yet they routinely introduce well-known vulnerabilities. We show that this is not a knowledge deficit: …
arXiv:2604.16669v1 Announce Type: new Abstract: The modern cryptographic primitives are known to generate large volumes of sequential data like keystreams, ciphertext blocks, and hash outputs. Traditi…
arXiv:2604.16659v1 Announce Type: new Abstract: Prior work shows that fine-tuning aligned models on benign data degrades safety in text and vision modalities, and that proximity to harmful content in …
arXiv:2604.16606v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed in high-stakes domains, yet a unified treatment of their overlapping safety challenges remains la…
arXiv:2604.16559v1 Announce Type: new Abstract: Light clients are essential for scalable blockchain systems because they verify data availability without downloading full blocks. In data availability …
arXiv:2604.16548v1 Announce Type: new Abstract: Research on large language model (LLM) security is shifting from "will the model leak training data" to a more consequential question: can an agent with…
arXiv:2604.16542v1 Announce Type: new Abstract: Safety guardrails have become an active area of research in AI safety, aimed at ensuring the appropriate behavior of large language models (LLMs). Howev…
arXiv:2604.16534v1 Announce Type: new Abstract: The communication protocols and data transfer mechanisms employed by IoT devices in smart buildings and corresponding digital twin systems predominantly…
arXiv:2604.16524v1 Announce Type: new Abstract: As autonomous AI agents increasingly call other agents to complete tasks on behalf of a human principal, a structural accountability gap has emerged: th…
arXiv:2604.16521v1 Announce Type: new Abstract: The deployment of Large Language Models in agentic, multi-turn conversational settings has introduced a class of privacy vulnerabilities that existing p…
arXiv:2604.16427v1 Announce Type: new Abstract: Cashback reward programs now serve as central instruments in the competitive landscape of cards, digital wallets, and payment platforms. Despite their f…
arXiv:2604.16424v1 Announce Type: new Abstract: State-Space Models (SSMs) -- structured SSMs (S4, S4D, DSS, S5), selective SSMs (Mamba, Mamba-2), and hybrid architectures (Jamba) -- are deployed in sa…
arXiv:2604.16363v1 Announce Type: new Abstract: Text-to-image models are commercially valuable assets often distributed under restrictive licenses, but such licenses are enforceable only when violatio…
A critical flaw in Anthropic’s Model Context Protocol (MCP) exposes over 150 million downloads to potential compromise. The vulnerability could enable full system takeover across up to 200,000 servers…
The Cybersecurity and Infrastructure Security Agency (CISA) has issued a critical warning about severe vulnerabilities in Gardyn Home Kit smart garden systems. Carrying a maximum severity score of 9.3…