FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
- Kaiyuan Zhang
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- et al.
- 2023
- ICLR 2023
Conference paper
Publications
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
- Shuai Zhang
- Meng Weng
- et al.
- 2023
- ICLR 2023
Conference paperA Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
- Hongkang Li
- Meng Weng
- et al.
- 2023
- ICLR 2023
Conference paperNeural-based classification rule learning for sequential data
- Marine Collery
- Philippe Bonnard
- et al.
- 2023
- ICLR 2023
Conference paperSymmetries, flat minima, and the conserved quantities of gradient flow
- Bo Zhao
- Iordan Ganev
- et al.
- 2023
- ICLR 2023
Conference paperGraph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
- Zehao Niu
- Mihai Anitescu
- et al.
- 2023
- ICLR 2023
Conference paperSupersingular Curves You Can Trust
- Andrea Basso
- Giulio Codogni
- et al.
- 2023
- Eurocrypt 2023
Conference paperPassword-Authenticated TLS via OPAQUE and Post-Handshake Authentication
- Julia Hesse
- Stanislaw Jarecki
- et al.
- 2023
- Eurocrypt 2023
Conference paperCaQR: A Compiler-Assisted Approach for Qubit Reuse through Dynamic Circuit
- Fei Hua
- Yuwei Jin
- et al.
- 2023
- ASPLOS 2023
Conference paperTSV Stress Evolution Mapping using in-line Raman Spectroscopy
- Stefan Schoeche
- Daniel Schmidt
- et al.
- 2023
- SPIE Advanced Lithography + Patterning 2023
Conference paper