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Spotlight
Thu 10:30 Increasing the Cost of Model Extraction with Calibrated Proof of Work
Adam Dziedzic · Muhammad Ahmad Kaleem · Yu Shen Lu · Nicolas Papernot
Poster
Thu 10:30 Increasing the Cost of Model Extraction with Calibrated Proof of Work
Adam Dziedzic · Muhammad Ahmad Kaleem · Yu Shen Lu · Nicolas Papernot
Poster
Thu 2:30 Adversarially Robust Conformal Prediction
Asaf Gendler · Tsui-Wei Weng · Luca Daniel · Yaniv Romano
Poster
Mon 10:30 PAC Prediction Sets Under Covariate Shift
Sangdon Park · Edgar Dobriban · Insup Lee · Osbert Bastani
Poster
Wed 18:30 Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty
Jeff Willette · Hae Beom Lee · Juho Lee · Sung Ju Hwang
Poster
Mon 2:30 Top-label calibration and multiclass-to-binary reductions
Chirag Gupta · Aaditya Ramdas
Poster
Mon 10:30 FairCal: Fairness Calibration for Face Verification
Tiago Salvador · Stephanie Cairns · Vikram Voleti · Noah Marshall · Adam Oberman
Workshop
Fri 15:05 Invertible neural networks for E3SM land model calibration and simulation
Dan Lu · Daniel Ricciuto · Jiaxin Zhang
Workshop
What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability
John Kirchenbauer · Jacob Oaks · Eric Heim
Poster
Wed 2:30 On the Importance of Difficulty Calibration in Membership Inference Attacks
Lauren Watson · Chuan Guo · Graham Cormode · Alexandre Sablayrolles