Evaluating the robustness of adversarial defenses in malware detection systems

Documenti analoghi

• HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing
  di: Muzsai, Lajos, et al.
  Pubblicazione: (2024)
• Improving LLM Agents with Reinforcement Learning on Cryptographic CTF Challenges
  di: Muzsai, Lajos, et al.
  Pubblicazione: (2025)
• A Robust Federated Learning Approach for Combating Attacks Against IoT Systems Under non-IID Challenges
  di: Gad, Eyad, et al.
  Pubblicazione: (2025)
• Specification and Evaluation of Multi-Agent LLM Systems -- Prototype and Cybersecurity Applications
  di: Härer, Felix
  Pubblicazione: (2025)
• Quantum Machine Learning for Cyber-Physical Anomaly Detection in Unmanned Aerial Vehicles: A Leakage-Free Evaluation with Proxy-Audited Feature Sets
  di: Paredes, Carlos A. Durán, et al.
  Pubblicazione: (2026)