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Mahalanobis-Aware Training for Out-of-Distribution Detection
While deep learning models have seen widespread success in controlled environments, there are still barriers to their adoption in open-world settings.
Poisoning Network Flow Classifiers
As machine learning (ML) classifiers increasingly oversee the automated monitoring of network traffic, studying their resilience against adversarial attacks becomes critical.
Tools and Practices for Responsible AI Engineering
Responsible Artificial Intelligence (AI) - the practice of developing, evaluating, and maintaining accurate AI systems that also exhibit essential properties such as robustness and explainability - represents a multifaceted challenge that often stretches standard machine learning tooling, frameworks, and testing methods beyond their limits.
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