cyberintel.kalymoon.com · 2750 articles · updated every 4 hours · grows forever
arXiv:2604.08037v1 Announce Type: new Abstract: Talking-head generation has advanced rapidly with diffusion-based generative models, but training usually depends on centralized face-video and speech d…
arXiv:2604.08019v1 Announce Type: new Abstract: Humanitarian organizations help to ensure people's livelihoods in crisis situations. Typically, multiple organizations operate in the same region. To en…
arXiv:2604.07839v1 Announce Type: new Abstract: The rapid expansion of the Internet of Things (IoT) and smart home ecosystems has led to a fragmented landscape of user data management across consumer …
arXiv:2604.07831v1 Announce Type: new Abstract: Existing red-teaming studies on GUI agents have important limitations. Adversarial perturbations typically require white-box access, which is unavailabl…
arXiv:2604.07797v1 Announce Type: new Abstract: Searchable Encryption (SE) enables users to query outsourced encrypted data while preserving data confidentiality. However, most efficient schemes still…
arXiv:2604.07771v1 Announce Type: new Abstract: Anamorphic encryption serves as a vital tool for covert communication, maintaining secrecy even during post-compromise scenarios. Particularly in the re…
arXiv:2604.07754v1 Announce Type: new Abstract: The deployment of large language models (LLMs) raises significant ethical and safety concerns. While LLM alignment techniques are adopted to improve mod…
arXiv:2604.07727v1 Announce Type: new Abstract: Existing jailbreak defense paradigms primarily rely on static detection of prompts, outputs, or internal states, often neglecting the dynamic evolution …
arXiv:2604.07695v1 Announce Type: new Abstract: The rapid deployment of AI agents acting autonomously on behalf of human principals has outpaced the development of cryptographic protocols for establis…
arXiv:2604.07581v1 Announce Type: new Abstract: It can be difficult for practitioners to interpret the quality of differentially private (DP) statistics due to the added noise. One method to help anal…
arXiv:2604.07568v1 Announce Type: new Abstract: Maximal Extractable Value, or MEV, remains a structural threat to blockchain fairness because a block producer can often observe pending transactions an…
arXiv:2604.07551v1 Announce Type: new Abstract: The Model Context Protocol (MCP) enables large language models (LLMs) to dynamically discover and invoke third-party tools, significantly expanding agen…
arXiv:2604.07536v1 Announce Type: new Abstract: Large language models (LLMs) increasingly rely on external tools to perform time-sensitive tasks and real-world actions. While tool integration expands …
arXiv:2604.07493v1 Announce Type: new Abstract: Epidemiologic studies of infectious diseases often rely on models of contact networks to capture the complex interactions that govern disease spread, an…
arXiv:2604.07486v1 Announce Type: new Abstract: Large language models (LLMs) have emerged as a powerful tool for synthetic data generation. A particularly important use case is producing synthetic rep…
arXiv:2604.07403v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) significantly enhances Large Language Models (LLMs), but simultaneously exposes a critical vulnerability to knowled…
arXiv:2604.07386v1 Announce Type: new Abstract: With the widespread application of artificial intelligence technologies in face recognition and other fields, data privacy security issues have received…
Cybersecurity Awareness Month: 5 new AI skills cyber pros need IBM
Tool: GitHub Repo Size GitHub doesn't tell you the repo size in the UI, but it's available in the CORS-friendly API . Paste a repo into this tool to see the size, for example for simonw/datasette (8.1…
arXiv:2405.03420v2 Announce Type: cross Abstract: This paper introduces a novel approach to enhance the performance of pre-trained neural networks in medical image segmentation using gradient-based Ne…
arXiv:2604.07236v1 Announce Type: new Abstract: Recent LLM-based agents often place world modeling, planning, and reflection inside a single language model loop. This can produce capable behavior, but…
arXiv:2604.07165v1 Announce Type: new Abstract: Reinforcement learning for Large Language Model agents is often hindered by sparse rewards in multi-step reasoning tasks. Existing approaches like Group…