arXiv:2608.06795v1 Announce Type: new Abstract: Low-rank adaptation (LoRA) enables efficient specialization and distribution of large language models through compact adapters. However, untrusted adapt…
cyberintel.kalymoon.com · 6373 articles · updated every 4 hours · grows forever
arXiv:2608.06795v1 Announce Type: new Abstract: Low-rank adaptation (LoRA) enables efficient specialization and distribution of large language models through compact adapters. However, untrusted adapt…
arXiv:2608.06778v1 Announce Type: new Abstract: Mapping cyber threat intelligence (CTI) text to MITRE ATT&CK techniques is essential for structured threat analysis, yet manual annotation is costly and…
arXiv:2608.06724v1 Announce Type: new Abstract: This paper studies the concrete security of BBS signatures (Boneh, Boyen, Shacham, CRYPTO '04; Camenisch and Lysyanskaya, CRYPTO '04), a popular algebra…
arXiv:2608.06690v1 Announce Type: new Abstract: Most language-model access controls regulate behavior while leaving the same computation available to every request. We study a different systems questi…
arXiv:2608.06651v1 Announce Type: new Abstract: Software-Defined Vehicles (SDVs) expand the automotive attack surface across source code, runtime logs, and deployment topologies, while safety constrai…
arXiv:2608.06641v1 Announce Type: new Abstract: Existing fuzzers for PDF readers rely on simple test cases that involve only individual API calls, leading to limited coverage and potentially missing v…
arXiv:2608.06581v1 Announce Type: new Abstract: Deep learning (DL) classifiers trained on I/Q samples achieve high accuracy for IEEE 802.11 protocol identification of overlapping signals, but their pe…
arXiv:2608.06571v1 Announce Type: new Abstract: Deployed vision-language systems often gate their answers on confidence, making confidence robustness relevant to oversight. We study confidence readout…
arXiv:2608.06508v1 Announce Type: new Abstract: Cryptographic systems operate on bytes but mean semantic objects. The translation between the two is rarely unique. Where this uniqueness is not enforce…
arXiv:2608.06477v1 Announce Type: new Abstract: Computer-use agents (CUAs) face a growing threat from indirect prompt injection, where adversarial instructions are planted in the environment such as w…
arXiv:2608.06471v1 Announce Type: new Abstract: Despite recent advances, frontier large language model (LLM) agents remain limited in discovering and patching complex vulnerabilities in real-world sof…
arXiv:2608.06469v1 Announce Type: new Abstract: Collaborative machine learning among financial institutions must be both group-fair and robust against deliberate adversarial manipulation. Existing fai…
arXiv:2608.06416v1 Announce Type: new Abstract: Watermarking traces the provenance of text produced by large language models by embedding statistically detectable signals during decoding. Existing sch…
IBM’s 2026 Data Breach Report: 92% of AI Incidents Had No Access Controls Cybersecurity Insiders
ESET showcases cutting-edge AI Security at Black Hat 2026 ESET
Startup Focused on Enterprise AI Security Valued at $1.2B AI Business
The Four AI Security Myths Leaving Enterprises Exposed Cybersecurity Insiders
arXiv:2608.05224v1 Announce Type: new Abstract: Large language models fine-tuned on human behavioural data have emerged as general-purpose cognitive proxies, but the scale this requires, and whether t…
arXiv:2608.05219v1 Announce Type: new Abstract: Privileged on-policy distillation provides dense supervision for multi-turn agents by allowing a synchronized teacher to re-score the student's response…
arXiv:2608.05218v1 Announce Type: new Abstract: 3D Gaussian Splatting (3DGS) enables fast, photorealistic talking-head rendering, yet accurate lip articulation remains elusive: mouth motion is often o…
arXiv:2608.05212v1 Announce Type: new Abstract: Deep search agents tackle challenging questions through long-horizon web interactions, a process that is both complex and fragile: small reasoning error…
arXiv:2608.05206v1 Announce Type: new Abstract: Otter is a 15.3M-parameter human chess AI that predicts human move selection by modeling play as a time-aware, sequential process rather than treating e…
arXiv:2608.05205v1 Announce Type: new Abstract: Event-centric intelligent analytical systems heavily depend on explicit causal event knowledge for risk early warning, decision-making support and narra…
arXiv:2608.05204v1 Announce Type: new Abstract: LLM-agent ecosystems are rapidly growing around reusable skills: mixed-modality packages of metadata, natural-language instructions, code, tools, refere…