conftrace_

trustworthy machine learning

14 papers

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Also known as

TML

Co-occurring keywords · papers mentioning both

trustworthy ai (3) adversarial example (3) neural network (2) foundation model (2) formal verification (2) deep learning (2) adversarial robustness (2) federated learning (2) reference data (1) design specification (1)

Papers

Backdoor Defense via Enhanced Splitting and Trap Isolation ICCV 2025 Scalable and Trustworthy Learning in Heterogeneous Networks AAAI 2025 The Mainstays of Trustworthy Machine Learning AAAI 2025 Towards Trustworthy, Efficient, and Scalable Machine Learning AAAI 2025 An Empirical Investigation Into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification WACV 2024 Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees NeurIPS 2024 Data-Driven Discovery of Design Specifications (Student Abstract) AAAI 2024 DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction AAAI 2024 Fostering Trustworthiness in Machine Learning Algorithms AAAI 2024 Towards Trustworthy Deep Learning AAAI 2024 Trustworthy Machine Learning under Imperfect Data IJCAI 2024 Identification of the Adversary from a Single Adversarial Example ICML 2023 Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration NeurIPS 2021 Robust Attribution Regularization NeurIPS 2019