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conftrace_

false positive rate

61 papers

FP-RATE FPR

Papers

Toxicity Detection for Free NeurIPS 2024 Assumption violations in causal discovery and the robustness of score matching NeurIPS 2023 A Unified Detection Framework for Inference-Stage Backdoor Defenses NeurIPS 2023 Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries ICLR 2023 GlotLID: Language Identification for Low-Resource Languages EMNLP 2023 GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients NeurIPS 2023 Kernel QuantTree ICML 2023 Membership Inference Attacks against Language Models via Neighbourhood Comparison ACL 2023 Online Heavy-tailed Change-point detection UAI 2023 Valid P-Value for Deep Learning-driven Salient Region ICLR 2023 AB/BA analysis: A framework for estimating keyword spotting recall improvement while maintaining audio privacy NAACL 2022 Enriching Abusive Language Detection with Community Context NAACL 2022 Evaluation-Oriented Knowledge Distillation for Deep Face Recognition CVPR 2022 Failure Prediction with Statistical Guarantees for Vision-Based Robot Control RSS 2022 Model-agnostic out-of-distribution detection using combined statistical tests AISTATS 2022 On the Importance of Difficulty Calibration in Membership Inference Attacks ICLR 2022 Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates AISTATS 2022 Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks IJCAI 2021 Consistent Instance False Positive Improves Fairness in Face Recognition CVPR 2021 Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees ICML 2021 Improving Cross-Domain Hate Speech Detection by Reducing the False Positive Rate NAACL 2021 On the Importance of Gradients for Detecting Distributional Shifts in the Wild NeurIPS 2021 Partitioned Learned Bloom Filters ICLR 2021 The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes ACL 2021 Understanding the Effect of Bias in Deep Anomaly Detection IJCAI 2021