Co-occurring keywords · papers mentioning both
Papers
Can Explanations Be Useful for Calibrating Black Box Models?
ACL 2022
Certifying Out-of-Domain Generalization for Blackbox Functions
ICML 2022
Constraint-Driven Explanations for Black-Box ML Models
AAAI 2022
Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems
ICLR 2022
DINE: Domain Adaptation From Single and Multiple Black-Box Predictors
CVPR 2022
Explaining Dialogue Evaluation Metrics using Adversarial Behavioral Analysis
NAACL 2022
Exploring Effective Data for Surrogate Training Towards Black-Box Attack
CVPR 2022
FastSHAP: Real-Time Shapley Value Estimation
ICLR 2022
Fast Sparse Decision Tree Optimization via Reference Ensembles
AAAI 2022
Feature Importance Explanations for Temporal Black-Box Models
AAAI 2022
Framework for Evaluating Faithfulness of Local Explanations
ICML 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
ICLR 2022
Label-Free Explainability for Unsupervised Models
ICML 2022
Let the CAT out of the bag: Contrastive Attributed explanations for Text
EMNLP 2022
Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models
ACL 2022
MLink: Linking Black-Box Models for Collaborative Multi-Model Inference
AAAI 2022
NoiseGrad — Enhancing Explanations by Introducing Stochasticity to Model Weights
AAAI 2022
QUERY EFFICIENT DECISION BASED SPARSE ATTACKS AGAINST BLACK-BOX DEEP LEARNING MODELS
ICLR 2022
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models
AAAI 2022
Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation
AAAI 2022
Washing The Unwashable : On The (Im)possibility of Fairwashing Detection
NeurIPS 2022
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations
NeurIPS 2022
Auditing Black-Box Prediction Models for Data Minimization Compliance
NeurIPS 2021
Black-Box Detection of Backdoor Attacks With Limited Information and Data
ICCV 2021
Characterizing the risk of fairwashing
NeurIPS 2021