Zhangheng Li

According to our database1, Zhangheng Li authored at least 8 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.
CoRR, 2024

Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk.
CoRR, 2024

Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

2023
Can Pruning Improve Certified Robustness of Neural Networks?
Trans. Mach. Learn. Res., 2023

DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer.
CoRR, 2023

Accelerable Lottery Tickets with the Mixed-Precision Quantization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2019
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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