cyberintel.kalymoon.com · 4651 articles · updated every 4 hours · grows forever
arXiv:2606.13272v1 Announce Type: cross Abstract: We study retrospective auditing for dynamic ordered sets maintained by an untrusted party. A passive auditor watches insert, delete, membership, prede…
arXiv:2606.12977v1 Announce Type: cross Abstract: Model fingerprinting, embedding user-specific identifiers (fingerprints) into generated outputs, has recently emerged as a popular solution to protect…
arXiv:2606.12896v1 Announce Type: cross Abstract: While real-world applications of reinforcement learning (RL) are becoming increasingly popular, the security of RL systems deserve more attention and …
arXiv:2606.12764v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used to generate code at scale. Meanwhile, prior work has investigated whether training data may be reco…
arXiv:2606.12709v1 Announce Type: cross Abstract: As LLM-based multi-agent systems (MAS) are deployed in the wild, the resilience of their collaboration structures against adversarial compromise becom…
arXiv:2606.12679v1 Announce Type: cross Abstract: Federated learning (FL) enables collaborative model training without sharing raw patient data, but standard approaches such as FedAvg treat each clien…
arXiv:2606.12474v1 Announce Type: cross Abstract: LLM-based multi-agent systems (MAS) solve complex tasks through inter-agent collaboration, but their communication-driven nature also allows security …
arXiv:2606.13612v1 Announce Type: new Abstract: Current U.S. cyber policy, centered on security, often treats documentation of controls and incident reports as a proxy for safety in the built environm…
arXiv:2606.13563v1 Announce Type: new Abstract: The task of finding _Hierarchical_ Heavy Hitters (HHH) was introduced by Cormode et al. [VLDB 2003] as a generalisation of the heavy hitter problem. Whi…
arXiv:2606.13445v1 Announce Type: new Abstract: As organizations move toward post-quantum cryptography, they face the major challenge of updating cryptographic algorithms across large, complex softwar…
arXiv:2606.13425v1 Announce Type: new Abstract: The impending post-quantum transition to new cryptography will require complete replacement of algorithms within all software. The cryptographic APIs us…
arXiv:2606.13385v1 Announce Type: new Abstract: Web agents driven by large language models (LLMs) are increasingly deployed in real-world environments, where they operate over untrusted web content an…
arXiv:2606.13107v1 Announce Type: new Abstract: Proxies, VPNs and Tor have long helped the privacy community and users in censored regions to fight censorship. However, the same tools can be malicious…
arXiv:2606.13079v1 Announce Type: new Abstract: Nowadays, the autonomous execution of cyberattacks capable of causing substantial real-world harm is widely regarded as one of the critical red lines th…
arXiv:2606.13037v1 Announce Type: new Abstract: One-day vulnerabilities pose significant risks due to delayed or incomplete patch adoption. Generating proof-of-concept (PoC) inputs is therefore essent…
arXiv:2606.13000v1 Announce Type: new Abstract: Constant time programming patterns is the primary defense against timing attacks on cryptographic implementations, yet what "constant time" means varies…
arXiv:2606.12949v1 Announce Type: new Abstract: Visualization-based malware detection maps raw binary bytes to grayscale images and applies learned visual classifiers, providing an evasion-resistant a…
arXiv:2606.12918v1 Announce Type: new Abstract: Hierarchical multi-agent systems (MAS) are rapidly being deployed in high-stakes workflows across domains such as finance and software engineering. In t…
arXiv:2606.12887v1 Announce Type: new Abstract: Bitcoin's Lightning Network (LN) can be exploited as a covert, low-cost command-and-control (C&C) channel for botnets, as demonstrated by the LNBot and …
arXiv:2606.12845v1 Announce Type: new Abstract: This study explores privacy-preserving machine learning (PPML) techniques using the PySyft platform to enable collaborative prediction of student retent…
arXiv:2606.12793v1 Announce Type: new Abstract: Accurate identification of IoT devices is important for security management and policy enforcement. Existing approaches typically learn device signature…
arXiv:2606.12737v1 Announce Type: new Abstract: Large Language Models (LLMs) are rapidly evolving into agentic systems that interact with external tools and environments, introducing new security risk…
arXiv:2606.12703v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) agents increasingly run with persistent memory that accumulates across user sessions. This creates a new attack sur…
arXiv:2606.12666v1 Announce Type: new Abstract: Screenshot-based mobile GUI agents can operate ordinary smartphone apps through the same visual interface as a human user, but this capability also turn…