Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models

8 June 2024

Papers citing "Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models"

5 / 5 papers shown

Title
SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation Yanming Liu Xinyue Peng Jiannan Cao Le Dai Xingzu Liu Mingbang Wang Weihao Liu SyDa 36 2 0 11 Mar 2024
Certifying Some Distributional Fairness with Subpopulation Decomposition Mintong Kang Linyi Li Maurice Weber Yang Liu Ce Zhang Bo-wen Li OOD 54 15 0 31 May 2022
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 196 853 0 09 Feb 2021
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher Guangda Ji Zhanxing Zhu 51 42 0 20 Oct 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 294 6,927 0 20 Apr 2018