Towards an efficient and general framework of robust training for graph neural networks
- Kaidi Xu
- Sijia Liu
- et al.
- 2020
- ICASSP 2020
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698 results for Trustworthy AI
Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning
- Chao-Han Huck Yang
- Jun Qi
- et al.
- 2020
- ICASSP 2020
Learn-By-Calibrating: Using Calibration As A Training Objective
- Jayaraman J. Thiagarajan
- Bindya Venkatesh
- et al.
- 2020
- ICASSP 2020
AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks
- Xiao Wang
- Siyue Wang
- et al.
- 2020
- ICASSP 2020
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement
- Chao Han Yang
- Jun Qi
- et al.
- 2020
- ICASSP 2020
Interpretation Method for Continuous Glucose Monitoring with Subsequence Time-Series Clustering
- Masaki Ono
- Takayuki Katsuki
- et al.
- 2020
- MIE 2020
From human-human collaboration to Human-AI collaboration: Designing AI systems that can work together with people
- Dakuo Wang
- Elizabeth Churchill
- et al.
- 2020
- CHI EA 2020
Experiences with improving the transparency of AI models and services
- Michael Hind
- Stephanie Houde
- et al.
- 2020
- CHI EA 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
- Q. Vera Liao
- Daniel M. Gruen
- et al.
- 2020
- CHI 2020
AutoAIViz: Opening the blackbox of automated artificial intelligence with conditional parallel coordinates
- Daniel Karl I. Weidele
- Justin Weisz
- et al.
- 2020
- IUI 2020