Simin Chen
Simin Chen
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Your Compiler is Backdooring Your Model: Understanding and Exploiting Compilation Inconsistency Vulnerabilities in Deep Learning Compilers
Deep learning (DL) compilers are core infrastructure in modern DL systems, offering flexibility and scalability beyond vendor-specific …
Simin Chen
,
Jinjun Peng
,
Yixin He
,
Junfeng Yang
,
Baishakhi Ray
PDF
Code
DyCodeEval: Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination
The rapid evolution of code largelanguage models underscores the need for effective and transparent benchmarking of their reasoning …
Simin Chen
,
Pranav Pusarla
,
Baishakhi Ray
PDF
Code
Dataset
Project
SOK: Efficiency Robustness of Dynamic Deep Learning Systems
Deep Learning Systems (DLSs) are increasingly deployed in real-time applications, including those in resourceconstrained environments …
Ravishka Rathnasuriya
,
Tingxi Li
,
Zexin Xu
,
Zihe Song
,
Mirazul Haque
,
Simin Chen
,
Wei Yang
FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models
General-purpose Vision-Language Models (VLMs) have driven major advancements in multimodal AI. Fine-tuning these models with …
Jiaqi Wu
,
Simin Chen
,
Jing Tang
,
Yuzhe Yang
,
Yiming Chen
,
Lixu Wang
,
Song Lin
,
Zehua Wang
,
Wei Chen
,
Zijian Tian
Medusa: A Framework for Collaborative Development of Foundation Models with Automated Parameter Ownership Assignment
Foundation models (FMs) have become the backbone of intelligent systems. Collaborative development of FMs enables multiple teams to …
Dezhi Ran
,
Yuan Cao
,
Yuzhe Guo
,
Yuetong Li
,
Mengzhou Wu
,
Simin Chen
,
Wei Yang
,
Tao Xie
DeciX: Explain Deep Learning Based Code Generation Applications
Deep learning-based code generation (DL-CG) applications have shown great potential for assisting developers in programming with …
Simin Chen
,
Zexin Li
,
Wei Yang
,
Cong Liu
PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models
In recent times, a plethora of Large Code Generation Models (LCGMs) have been proposed, showcasing significant potential in assisting …
Simin Chen
,
Xiaoning Feng
,
Xiaohong Han
,
Cong Liu
,
Wei Yang
PDF
Code
Dynamic Transformer Provide a False Sense of Efficiency
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Yiming Chen
,
Simin Chen
,
Zexin Li
,
Wei Yang
,
Cong Liu
,
Robby Tan
,
Haizhou Li
The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection
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Simin Chen
,
Hanlin Chen
,
Mirazul Haque
,
Cong Liu
,
Wei Yang
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
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Zexin Li
,
Bangjie Yin
,
Taiping Yao
,
Junfeng Guo
,
Shouhong Ding
,
Simin Chen
,
Cong Liu
»
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