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Zepu Lu

3 accepted papers

2023

Backdoor Defense via Deconfounded Representation Learning

CVPR 2023poster

Deep neural networks (DNNs) are recently shown to be vulnerable to backdoor attacks, where attackers embed hidden backdoors in the DNN model by injecting a few poisoned examples into the training dataset. While extensive efforts have been made to detect and remove backdoors from backdoored DNNs, it…

2023

Full-Atom Protein Pocket Design via Iterative Refinement

NeurIPS 2023spotlight

The design of \emph{de novo} functional proteins that bind with specific ligand molecules is crucial in various domains like therapeutics and bio-engineering. One vital yet challenging step is to design the protein pocket, the cavity region of protein where the ligand binds with. Existing methods su…

2023

Knowledge Distillation for High Dimensional Search Index

NeurIPS 2023poster

Lightweight compressed models are prevalent in Approximate Nearest Neighbor Search (ANNS) and Maximum Inner Product Search (MIPS) owing to their superiority of retrieval efficiency in large-scale datasets. However, results given by compressed methods are less accurate due to the curse of dimension a…

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