Adversarial Machine Learning for Good
- 2022
- AAAI 2022
Publications
896 results for Trustworthy AI
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
- David Stutz
- Nandhini Chandramoorthy
- et al.
- 2021
- IEEE TPAMI
Machine Learning Security and Privacy
- Nathalie Baracaldo
- Alina Oprea
- 2021
- IEEE Security and Privacy
NN-EMD: Efficiently Training Neural Networks Using Encrypted Multi-Sourced Datasets
- Runhua Xu
- James Joshi
- et al.
- 2021
- IEEE TDSC
Besting the Black-Box: Barrier Zones for Adversarial Example Defense
- Kaleel Mahmood
- Phuong Ha Nguyen
- et al.
- 2021
- IEEE Access
Numerical investigation of droplets in a cross-ventilated space with sitting passengers under asymptomatic virus transmission conditions
- Carlos Pena Monferrer
- Samuel Freitas Antao
- et al.
- 2021
- Physics of Fluids
Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation
- 2022
- AAAI 2022
Catastrophic Data Leakage in Vertical Federated Learning
- Xiao Jin
- Pin-Yu Chen
- et al.
- 2021
- NeurIPS 2021
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
- Lijie Fan
- Sijia Liu
- et al.
- 2021
- NeurIPS 2021
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- NeurIPS 2021