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SLIP: Securing LLMs IP Using Weights Decomposition

SLIP: Securing LLMs IP Using Weights Decomposition

Yehonathan Refael
Adam Hakim
Lev Greenberg
T. Aviv
S. Lokam
Ben Fishman
Shachar Seidman
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Papers citing "SLIP: Securing LLMs IP Using Weights Decomposition"

5 / 5 papers shown
Title
ImF: Implicit Fingerprint for Large Language Models
ImF: Implicit Fingerprint for Large Language Models
Wu jiaxuan
Peng Wanli
Fu hang
Xue Yiming
Wen juan
36
0
0
25 Mar 2025
AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
Yehonathan Refael
Jonathan Svirsky
Boris Shustin
Wasim Huleihel
Ofir Lindenbaum
47
3
0
31 Dec 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han
Chao Gao
Jinyang Liu
Jeff Zhang
Sai Qian Zhang
150
310
0
21 Mar 2024
NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation
NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation
Tong Zhou
Yukui Luo
Shaolei Ren
Xiaolin Xu
AAML
51
15
0
28 Apr 2023
CrypTFlow2: Practical 2-Party Secure Inference
CrypTFlow2: Practical 2-Party Secure Inference
Deevashwer Rathee
Mayank Rathee
Nishant Kumar
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
87
301
0
13 Oct 2020