Enhancing In-context Learning via Linear Probe Calibration
- Momin Abbas
- Yi Zhou
- et al.
- 2024
- AISTATS 2024
Publications
53 results for Nathalie Baracaldo
Is Federated Learning Still Alive in the Foundation Model Era?
- 2024
- AAAI-SS 2024
Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks
- Shuli Jiang
- Swanand Ravindra Kadhe
- et al.
- 2023
- NeurIPS 2023
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs
- 2023
- NeurIPS 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
- Timothy Castiglia
- Yi Zhou
- et al.
- 2023
- ICML 2023
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models
- Nathalie Baracaldo Angel
- Farhan Ahmed
- et al.
- 2023
- S&P 2023
Single-shot General Hyper-parameter Optimization for Federated Learning
- Yi Zhou
- Parikshit Ram
- et al.
- 2023
- ICLR 2023
HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework
- Syed Zawad
- Ali Anwar
- et al.
- 2023
- CCGrid 2023
Heterogeneity-Aware Adaptive Federated Learning Scheduling
- Jingoo Han
- Ahmad Faraz Khan
- et al.
- 2022
- Big Data 2022
Federated XGBoost on Sample-Wise Non-IID Data
- Katelinh Jones
- Yuya Jeremy Ong
- et al.
- 2022
- Big Data 2022