Tutorial: Safe and Reliable Machine Learning

2019/04/15 by Suchi Saria, Saria, Suchi, Adarsh Subbaswamy +1 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)

paper · pdf · doi:10.48550/arxiv.1904.07204

openalex publication_date 2019/04/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This document serves as a brief overview of the "Safe and Reliable Machine Learning" tutorial given at the 2019 ACM Conference on Fairness, Accountability, and Transparency (FAT* 2019). The talk slides can be found here: https://bit.ly/2Gfsukp, while a video of the talk is available here: https://youtu.be/FGLOCkC4KmE, and a complete list of references for the tutorial here: https://bit.ly/2GdLPme.

Citations

• Reliable Decision Support using Counterfactual Models
• A Dual Approach to Scalable Verification of Deep Networks
• Datasheets for Datasets

Cited by

• SIFOTL: A Principled, Statistically-Informed Fidelity-Optimization Method for Tabular Learning

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