cyberintel.kalymoon.com · 5054 articles · updated every 4 hours · grows forever
arXiv:2603.28902v1 Announce Type: new Abstract: Charts are central to analytical reasoning, yet existing benchmarks for chart understanding focus almost exclusively on single-chart interpretation rath…
arXiv:2603.28942v1 Announce Type: cross Abstract: The pervasive deployment of deep learning models across critical domains has concurrently intensified privacy concerns due to their inherent propensit…
arXiv:2603.28846v1 Announce Type: cross Abstract: This whitepaper seeks to elucidate implications that the capabilities of developing quantum architectures have on blockchain vulnerabilities and mitig…
arXiv:2603.30034v1 Announce Type: new Abstract: Random subspace method has wide security applications such as providing certified defenses against adversarial and backdoor attacks, and building robust…
arXiv:2603.30016v1 Announce Type: new Abstract: AI agents, predominantly powered by large language models (LLMs), are vulnerable to indirect prompt injection, in which malicious instructions embedded …
arXiv:2603.29907v1 Announce Type: new Abstract: Assistive technologies increasingly support independence, accessibility, and safety for older adults, people with disabilities, and individuals requirin…
arXiv:2603.29800v1 Announce Type: new Abstract: Speculative execution enhances processor performance by predicting intermediate results and executing instructions based on these predictions. However, …
arXiv:2603.29749v1 Announce Type: new Abstract: Trusted Execution Environments (TEEs) allow the secure execution of code on remote systems without the need to trust their operators. They use static at…
arXiv:2603.29688v1 Announce Type: new Abstract: In low-altitude wireless networks (LAWN), federated learning (FL) enables collaborative intelligence among unmanned aerial vehicles (UAVs) and integrate…
arXiv:2603.29668v1 Announce Type: new Abstract: Mobile messaging apps are a fundamental communication infrastructure, used by billions of people every day to share information, including sensitive dat…
arXiv:2603.29636v1 Announce Type: new Abstract: Mobile networks are essential for modern societies. The most recent generation of mobile networks will be even more ubiquitous than previous ones. There…
arXiv:2603.29537v1 Announce Type: new Abstract: Network traffic classification using self-supervised pre-training models based on Masked Autoencoders (MAE) has demonstrated a huge potential. However, …
arXiv:2603.29520v1 Announce Type: new Abstract: Encrypted traffic classification is a critical task for network security. While deep learning has advanced this field, the occlusion of payload semantic…
arXiv:2603.29403v1 Announce Type: new Abstract: LLM-as-a-Judge (LaaJ) is a novel paradigm in which powerful language models are used to assess the quality, safety, or correctness of generated outputs.…
arXiv:2603.29382v1 Announce Type: new Abstract: Lightweight cryptographic primitives are widely deployed in resource-constraint environment, particularly in the Internet of Things (IoT) devices. Due t…
arXiv:2603.29328v1 Announce Type: new Abstract: Backdoor attacks on federated learning (FL) are most often evaluated with synthetic corner patches or out-of-distribution (OOD) patterns that are unlike…
arXiv:2603.29289v1 Announce Type: new Abstract: The fast pace of modern AI is rapidly transforming traditional industrial systems into vast, intelligent and potentially unmanned autonomous operational…
arXiv:2603.29063v1 Announce Type: new Abstract: The major mobile platforms, Android and iOS, have introduced changes that restrict user tracking to improve user privacy, yet apps continue to covertly …
arXiv:2603.29062v1 Announce Type: new Abstract: LLM-based chatbots in government services face critical security gaps. Multi-turn adversarial attacks achieve over 90% success against current defenses,…
arXiv:2603.29038v1 Announce Type: new Abstract: Fine-tuning APIs offered by major AI providers create new attack surfaces where adversaries can bypass safety measures through targeted fine-tuning. We …
arXiv:2603.28998v1 Announce Type: new Abstract: As Large Language Models (LLMs) and multi-agent AI systems are demonstrating increasing potential in cybersecurity operations, organizations, policymake…
arXiv:2603.28988v1 Announce Type: new Abstract: Modern Large Language Model (LLM) systems are assembled from third-party artifacts such as pre-trained weights, fine-tuning adapters, datasets, dependen…
arXiv:2603.28985v1 Announce Type: new Abstract: By utilising their adaptive activation functions, Kolmogorov-Arnold Networks (KANs) can be applied in a novel way for the diverse machine learning tasks…
arXiv:2603.28972v1 Announce Type: new Abstract: The large-scale adoption of Large Language Models (LLMs) forces a trade-off between operational cost (OpEx) and data privacy. Current routing frameworks…