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2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency

2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency

11 September 2021
Yonggan Fu
Yang Katie Zhao
Qixuan Yu
Chaojian Li
Yingyan Lin
    AAML
ArXivPDFHTML

Papers citing "2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency"

4 / 4 papers shown
Title
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge
  Devices via Layerwise Unified Compression and Adaptive Layer Tuning and
  Voting
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting
Zhongzhi Yu
Zheng Wang
Yuhan Li
Haoran You
Ruijie Gao
Xiaoya Zhou
Sreenidhi Reedy Bommu
Yang Katie Zhao
Yingyan Celine Lin
22
12
0
22 Jun 2024
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning
Y. Fu
Ye Yuan
Shang Wu
Jiayi Yuan
Yingyan Lin
OOD
37
3
0
24 Apr 2023
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against
  Adversarial Machine Learning
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Mohammad Hossein Samavatian
Saikat Majumdar
Kristin Barber
R. Teodorescu
AAML
6
2
0
31 Jul 2022
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained
  Input-Adaptation
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation
Zhongzhi Yu
Y. Fu
Sicheng Li
Chaojian Li
Yingyan Lin
ViT
21
18
0
21 Dec 2021
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