arXiv:2507. 02964v2 Announce Type: replace-cross Abstract: The increasing scale of AI workloads demands High-Performance Computing (HPC) infrastructure and training methodologies that are both scalable and sustainable.
By Salahuddin Salahuddin, Ahmed Hussain, Jussi L\"opp\"onen, Toni Jutila
HoneyRoute is an inference‑serving layer that identifies malicious requests and redirects them to a honeypot model, protecting the production model while collecting adversarial interactions for intelligence. It combines a lightweight streaming router, a dual‑implementation honeypot, and an analysis loop that turns captured interactions into attacker fingerprints for retraining. In evaluations on production traces and a seven‑domain attack corpus, HoneyRoute achieves high detection F1 scores with minimal latency overhead, significantly reduces token consumption during flooding attacks, and improves fidelity‑traceability trade‑offs compared to naive bait injection.
By Han Jin
arXiv:2608. 15012v1 Announce Type: cross Abstract: The rapid advancement of large language models (LLMs) has created a growing asymmetry in cybersecurity, where attack accelerates toward autonomous execution while defense remains predominantly human-intensive.
By Yuhan Meng, Shaofei Li, Jionghao Huang, Jiandong Jin, Puyi Wang, Hanlin Jiang, Anis Yusof, Peng Jiang, Zhenkai Liang, Yao Guo, Ding Li
DecoyTrace is a proactive cyber‑deception defense designed for strictly serverless decentralized federated learning (DFL). It deploys mobile DecoyNodes that generate chaotic decoy challenges, disseminate dual models (clean vs. decoy) based on neighbor trust, and use three‑state semantic metrics to isolate malicious sources and recover models. Across sixty configurations on the NEBULA platform, DecoyTrace restores model utility with minimal performance loss and reduces CPU and network usage by up to two‑thirds.
By Pedro Beltr\'an-L\'opez, Enrique Tom\'as Mart\'inez Beltr\'an, Pantaleone Nespoli, Manuel Gil P\'erez, Alberto Huertas Celdr\'an
arXiv:2607. 06963v1 Announce Type: cross Abstract: Large Language Models (LLMs) and generative AI (GenAI) systems, such as ChatGPT, Claude, Gemini, LLaMA, Copilot, Stable Diffusion by OpenAI, Anthropic, Google, Meta, Microsoft, Stability AI, respectively, are revolutionizing cybersecurity, enabling both automated defense and sophisticated attacks.
By Kiarash Ahi, Saeed Valizadeh
arXiv:2606. 29646v1 Announce Type: cross Abstract: Sleeper agents are the canonical model organism of deception: models trained to behave normally but to emit an unsafe behaviour on a specific trigger.
By Mohammed Abu Baker, Lakshmi Babu-Saheer