activity
20212026
most citedLearning to Reverse DNNs from AI Programs Automatically

6 citations · 11 across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CL2023

DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization

Simin Chen, Shiyi Wei, Cong Liu +1

DL compiler's primary function is to translate DNN programs written in high-level DL frameworks such as PyTorch and TensorFlow into portable executables. These executables can then…

cs.SD2023

SlothSpeech: Denial-of-service Attack Against Speech Recognition Models

Mirazul Haque, Rutvij Shah, Simin Chen +3

Deep Learning (DL) models have been popular nowadays to execute different speech-related tasks, including automatic speech recognition (ASR). As ASR is being used in different real…

cs.CL2023

Dynamic Transformers Provide a False Sense of Efficiency

Yiming Chen, Simin Chen, Zexin Li +4

Despite much success in natural language processing (NLP), pre-trained language models typically lead to a high computational cost during inference. Multi-exit is a mainstream appr…

cs.CV2023★ 2 cited

Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition

Zexin Li, Bangjie Yin, Taiping Yao +4

A hard challenge in developing practical face recognition (FR) attacks is due to the black-box nature of the target FR model, i.e., inaccessible gradient and parameter information…

cs.DB2023★ 1 cited

NHtapDB: Native HTAP Databases

Guoxin Kang, Lei Wang, Simin Chen +1

Native database (1) provides a near-data machine learning framework to facilitate generating real-time business insight, and predefined change thresholds will trigger online traini…