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会议/期刊	论文
sigmod2021	Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems.
sigmod2020	Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints.
sigmod2020	Crypt?: Crypto-Assisted Differential Privacy on Untrusted Servers.
sigmod2020	Reliable Data Distillation on Graph Convolutional Network.
neurips2021	Meta-Learning Reliable Priors in the Function Space.
neurips2021	Reliable Decisions with Threshold Calibration.
neurips2021	Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection.
neurips2021	Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
neurips2021	Reliable Post hoc Explanations: Modeling Uncertainty in Explainability.
neurips2021	Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space.
neurips2021	Towards Robust and Reliable Algorithmic Recourse.
neurips2021	Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices.
neurips2021	Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions.
neurips2021	Learning to Predict Trustworthiness with Steep Slope Loss.
neurips2021	NeuroMLR: Robust & Reliable Route Recommendation on Road Networks.
neurips2021	Sampling with Trusthworthy Constraints: A Variational Gradient Framework.
neurips2021	Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration.
neurips2021	CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud Registration.
neurips2021	RIM: Reliable Influence-based Active Learning on Graphs.
neurips2020	Learning Structured Distributions From Untrusted Batches: Faster and Simpler.
neurips2020	Attribution Preservation in Network Compression for Reliable Network Interpretation.
neurips2020	Trust the Model When It Is Confident: Masked Model-based Actor-Critic.
neurips2020	SCOP: Scientific Control for Reliable Neural Network Pruning.
neurips2020	Reliable Graph Neural Networks via Robust Aggregation.
neurips2020	Calibrated Reliable Regression using Maximum Mean Discrepancy.
neurips2020	Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference.
kdd2021	How Interpretable and Trustworthy are GAMs?
kdd2021	Uncertainty-Aware Reliable Text Classification.
kdd2021	Trustworthy and Powerful Online Marketplace Experimentation with Budget-split Design.
kdd2021	Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value.
kdd2021	KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health.
kdd2021	The Third International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD2021): Joint Workshop with SIGKDD 2021 Trust Day.
kdd2020	INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare.
ICDE2021	Twine: An Embedded Trusted Runtime for WebAssembly.
ICDE2021	WedgeChain: A Trusted Edge-Cloud Store With Asynchronous (Lazy) Trust.
ICDE2021	Reliable Recommendation with Review-level Explanations.
ICDE2021	Swift: Reliable and Low-Latency Data Processing at Cloud Scale.
ACMMM2021	Trustworthy Multimedia Analysis.
ACMMM2021	Trustworthy AI’21: 1st International Workshop on Trustworthy AI for Multimedia Computing.
ACMMM2021-MUCAI	The Design of a Trust-based Game as a Conversational Component of Interactive Environment for a Human-agent Negotiation.
ACMMM2020	AffectI: A Game for Diverse, Reliable, and Efficient Affective Image Annotation.
ACMMM2020	Summary of MuSe 2020: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media.
ACMMM2020-MUSE	MuSe 2020 Challenge and Workshop: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media: Emotional Car Reviews in-the-wild.
AAAI2021	GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates.
AAAI2021	Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach.
AAAI2021	Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration.
AAAI2021	MASKER: Masked Keyword Regularization for Reliable Text Classification.
AAAI2021	Goten: GPU-Outsourcing Trusted Execution of Neural Network Training.
AAAI2021-safeai	Multi-Modal Generative Adversarial Networks Make Realistic and Diverse but Untrustworthy Predictions When Applied to Ill-posed Problems.
AAAI2020	Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare.
AAAI2020	Reliable Multilabel Classification: Prediction with Partial Abstention.
AAAI2020	Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs.
AAAI2020	Reliable and Efficient Anytime Skeleton Learning.
AAAI2020	AI Trust in Business Processes: The Need for Process-Aware Explanations.
AAAI2020	Iterative Learning for Reliable Underwater Link Adaptation (Student Abstract).
AAAI2020	Multidimensional Analysis of Trust in News Articles (Student Abstract).
AAAI2020	Personalized Prediction of Trust Links in Social Networks (Student Abstract).
AAAI2020-safeai	You Shouldn’t Trust Me: Learning Models Which Conceal Unfairness From Multiple Explanation Methods.
WWW2021C	PDTM: Poisson Distribution-based Trust Model for Web of Things.
WWW2021C	Do I Trust this Stranger? Generalized Trust and the Governance of Online Communities.
WWW2020	Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions.
WWW2020	Designing for Trust: A Behavioral Framework for Sharing Economy Platforms.
WWW2020C	TaxAA: a Reliable Tax Auditor Assistant for Exploring Suspicious Transactions.
WWW2020C	Scalable Anti-TrustRank with Qualified Site-level Seeds for Link-based Web Spam Detection.
SIGIR2021	Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method.
SIGIR2021	Towards Trustworthiness in the Context of Explainable Search.
SIGIR2020	Search Result Explanations Improve Efficiency and Trust.
ICML2021	Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
ICML2021	KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning.
ICML2021	Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation.
ICML2020	Online metric algorithms with untrusted predictions.
ICML2020	Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks.
ICML2020	Reliable Fidelity and Diversity Metrics for Generative Models.
ICML2019	Robust Learning from Untrusted Sources.
ICML2019	Distributed Learning over Unreliable Networks.
ICLR2020	Quantifying the Cost of Reliable Photo Authentication via High-Performance Learned Lossy Representations.
ICLR2021	Trusted Multi-View Classification.
ICLR2021	Differentiable Trust Region Layers for Deep Reinforcement Learning.
CVPR2021	Generative Classifiers as a Basis for Trustworthy Image Classification.
CVPR2021	Learning Accurate Dense Correspondences and When To Trust Them.
CVPR2021	Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation.
CVPR2021	Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection.
CVPR2020	MAGSAC++, a Fast, Reliable and Accurate Robust Estimator.
CVPR2020	Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation.
CVPR2020	Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation.
CVPR2020	Data-Efficient Semi-Supervised Learning by Reliable Edge Mining.
CVPRW2021	Plants Don’t Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation.
CVPRW2020	An Analytical Framework for Trusted Machine Learning and Computer Vision Running with Blockchain.
CVPRW2020	ArUcOmni: detection of highly reliable fiducial markers in panoramic images.
CVPRW2020	Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency.
ICCV2021	Robust Trust Region for Weakly Supervised Segmentation.
ACL2021	How Reliable are Model Diagnostics?
ACL2020	Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment.
IJCAI2021	Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data.
IJCAI2021	Average-Reward Reinforcement Learning with Trust Region Methods.
IJCAI2021	Hindsight Trust Region Policy Optimization.
IJCAI2020	Formalizing Group and Propagated Trust in Multi-Agent Systems.
IJCAI2020	Combining Direct Trust and Indirect Trust in Multi-Agent Systems.
IJCAI2020	Opinion Maximization in Social Trust Networks.
IJCAI2020	Risk-Averse Trust Region Optimization for Reward-Volatility Reduction.
IJCAI2020	Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain.
IJCAI2020	Towards Trustable Explainable AI.
IJCAI2020	Certifai: A Toolkit for Building Trust in AI Systems.
IJCAI2020-aisafety	Increasing the Trustworthiness of Deep Neural Networks via Accuracy Monitoring.
IJCAI2020-aisafety	Towards Safe and Reliable Robot Task Planning.
IJCAI2020-aisafety	Bayesian Model for Trustworthiness Analysis of Deep Learning Classifiers.
TPAMI2022	Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction.
JMLR2021	Stable-Baselines3: Reliable Reinforcement Learning Implementations.
JMLR2020	Trust-Region Variational Inference with Gaussian Mixture Models.
TKDE2021	A Reliable Storage Partition for Permissioned Blockchain.
TKDE2020	Trust Relationship Prediction in Alibaba E-Commerce Platform.
TKDE2020	Reliable Accuracy Estimates from k-Fold Cross Validation.
TKDE2020	A Novel Trust Model Based Overlapping Community Detection Algorithm for Social Networks.
IEEE2021	A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning.
IEEE2020	Toward Reliable and Scalable Internet of Vehicles: Performance Analysis and Resource Management.
AI2022	Integrating social influence modeling and user modeling for trust prediction in signed networks.
AI2021	Credibility Dynamics: A belief-revision-based trust model with pairwise comparisons.