Co-occurring keywords · papers mentioning both
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