Decoding Deception: Understanding Automatic Speech Recognition Vulnerabilities in Evasion and Poisoning Attacks

Documenti analoghi

• Enhancing TinyML Security: Study of Adversarial Attack Transferability
  di: Shah, Parin, et al.
  Pubblicazione: (2024)
• MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception
  di: Khazanchi, Vidit, et al.
  Pubblicazione: (2024)
• Exploiting Vulnerabilities in Speech Translation Systems through Targeted Adversarial Attacks
  di: Liu, Chang, et al.
  Pubblicazione: (2025)
• Selective Masking Adversarial Attack on Automatic Speech Recognition Systems
  di: Fang, Zheng, et al.
  Pubblicazione: (2025)
• Challenges in Ensuring AI Safety in DeepSeek-R1 Models: The Shortcomings of Reinforcement Learning Strategies
  di: Parmar, Manojkumar, et al.
  Pubblicazione: (2025)