How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning
- Lingjuan Lyu
- Yitong Li
- et al.
- 2020
- IEEE TDSC
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698 results for Trustworthy AI
AsgLDP: Collecting and Generating Decentralized Attributed Graphs with Local Differential Privacy
- Chengkun Wei
- Shouling Ji
- et al.
- 2020
- IEEE TIFS
Adaptive PII Mitigation Framework for Large Language Models
- 2025
- AAAI 2025
Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion
- Kerem Zaman
- Leshem Choshen
- et al.
- 2024
- EMNLP 2024
Multimodal Sleep Apnea Detection with Missing/Noisy Modality
- Hamed Fayyaz
- Abigail Strang
- et al.
- 2024
- MLHC 2024
RELIC: Investigating Large Language Model Responses using Self-Consistency
- Furui Cheng
- Vilém Zouhar
- et al.
- 2024
- CHI 2024
IberianVoxel: Automatic Completion of Iberian Ceramics for Cultural Heritage Studies
- Pablo Navarro
- Celia Cintas
- et al.
- 2023
- IJCAI 2023
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
- Tsuyoshi Idé
- Naoki Abe
- 2023
- KDD 2023
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning
- Hanjing Wang
- Dhiraj Joshi
- et al.
- 2023
- CVPR 2023
Learning Situation Hyper-Graphs for Video Question Answering
- Aisha Urooj Khan
- Hilde Kuehne
- et al.
- 2023
- CVPR 2023