Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks
- Hannah Kim
- Celia Cintas
- et al.
- 2023
- IJCAI 2023
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Balancing Social Impact, Opportunities, and Ethical Constraints of Using AI in the Documentation and Vitalization of Indigenous Languages
- 2023
- IJCAI 2023
Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities
- Karan Bhanot
- Ioana Baldini
- et al.
- 2023
- AIES 2023
Interpretable Differencing of Machine Learning Models
- Swagatam Haldar
- Diptikalyan Saha
- et al.
- 2023
- UAI 2023
Pessimistic Model Selection for Deep Reinforcement Learning
- Chao-Han Huck Yang
- Zhengling Qi
- et al.
- 2023
- UAI 2023
Code Vulnerability Detection via Signal-Aware Learning
- Sahil Suneja
- Yufan Zhuang
- et al.
- 2023
- EuroS&P 2023
DetAIL: A Tool to Automatically Detect and Analyze Drift In Language
- Nishtha Madaan
- Adithya Manjunatha
- et al.
- 2023
- IAAI 2023
Generating One-Hot Maps under Encryption
- Ehud Aharoni
- Nir Drucker
- et al.
- 2023
- CSCML 2023
How to Backdoor Diffusion Models?
- Sheng-yen Cho
- Pin-Yu Chen
- et al.
- 2023
- CVPR 2023
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
- Lei Hsiung
- Yun-Yun Tsai
- et al.
- 2023
- CVPR 2023