Practitioners' Perception of ML-Based Security Tools and Explanations

Explore practitioners' perceptions of machine learning-based security tools and explanations in this 16-minute IEEE conference talk. Gain insights from security experts Jaron Mink, Hadjer Benkraouda, Limin Yang, Arridhana Ciptadi, Ali Ahmadzadeh, Daniel Votipka, and Gang Wang as they discuss the challenges and opportunities in implementing ML-based security solutions. Discover how security professionals view the effectiveness of these tools, their concerns about explainability, and the factors that influence their adoption in real-world scenarios. Learn about the importance of clear explanations in ML-based security systems and how they impact practitioners' trust and decision-making processes.

Practitioners' Perception of ML-Based Security Tools and Explanations