Safety and Performance, Why not Both? Bi-Objective Optimized Model
Compression toward AI Software Deployment

Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment

11 August 2022

Leye Wang

Papers citing "Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment"

8 / 8 papers shown

Title
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 31 0 0 15 May 2025
Optimizing Deep Neural Networks using Safety-Guided Self Compression Mohammad Zbeeb Mariam Salman Mohammad Bazzi Ammar Mohanna 30 0 0 01 May 2025
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts Jie Zhu Y. Chen Mingyu Ding Ping Luo Leye Wang Jingdong Wang DiffM 42 4 0 30 Oct 2024
Efficient DNN-Powered Software with Fair Sparse Models Xuanqi Gao Weipeng Jiang Juan Zhai Shiqing Ma Xiaoyu Zhang Chao Shen 50 0 0 03 Jul 2024
A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 37 6 0 03 Apr 2024
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment Jie Zhu Leye Wang Xiao Han Anmin Liu Tao Xie AAML 25 5 0 02 Jan 2024
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 196 358 0 24 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018