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2106.06916
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Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
13 June 2021
Lixu Wang
Shichao Xu
Ruiqi Xu
Tianlin Li
Qi Zhu
AAML
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Papers citing
"Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization"
40 / 40 papers shown
Title
Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising
Yongli Xiang
Ziming Hong
Lina Yao
Dadong Wang
Tongliang Liu
AAML
50
1
0
21 Mar 2025
ProDiF: Protecting Domain-Invariant Features to Secure Pre-Trained Models Against Extraction
Tong Zhou
Shijin Duan
Gaowen Liu
Charles Fleming
Ramana Rao Kompella
Shaolei Ren
Xiaolin Xu
AAML
65
0
0
17 Mar 2025
Vision-Language Model IP Protection via Prompt-based Learning
Lianyu Wang
Hao Wu
Huazhu Fu
Daoqiang Zhang
VLM
Presented at
ResearchTrend Connect | VLM
on
28 Mar 2025
135
0
0
04 Mar 2025
Split Adaptation for Pre-trained Vision Transformers
Lixu Wang
Bingqi Shang
Y. Li
Payal Mohapatra
Wei Dong
Xiao-Xu Wang
Qi Zhu
ViT
43
0
0
01 Mar 2025
REFINE: Inversion-Free Backdoor Defense via Model Reprogramming
Y. Chen
Shuo Shao
Enhao Huang
Yiming Li
Pin-Yu Chen
Zhan Qin
Kui Ren
AAML
52
3
0
22 Feb 2025
Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment
Ruyi Ding
Tianhong Xu
A. A. Ding
Yunsi Fei
FedML
41
0
0
20 Feb 2025
Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions
Xiao Yang
Gaolei Li
Jianhua Li
AAML
AI4CE
51
1
0
08 Jan 2025
Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing
Ruyi Ding
Tong Zhou
Lili Su
A. A. Ding
Xiaolin Xu
Yunsi Fei
AAML
66
1
0
19 Nov 2024
Non-transferable Pruning
Ruyi Ding
Lili Su
A. A. Ding
Yunsi Fei
AAML
24
2
0
10 Oct 2024
IDEA: An Inverse Domain Expert Adaptation Based Active DNN IP Protection Method
Chaohui Xu
Qi Cui
Jinxin Dong
Weiyang He
Chip-Hong Chang
AAML
27
2
0
29 Sep 2024
Say No to Freeloader: Protecting Intellectual Property of Your Deep Model
Lianyu Wang
Hao Wu
Huazhu Fu
Daoqiang Zhang
42
2
0
23 Aug 2024
ICLGuard: Controlling In-Context Learning Behavior for Applicability Authorization
Wai Man Si
Michael Backes
Yang Zhang
43
1
0
09 Jul 2024
SOPHON: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained Models
Jiangyi Deng
Shengyuan Pang
Yanjiao Chen
Liangming Xia
Yijie Bai
Haiqin Weng
Wenyuan Xu
AAML
41
6
0
19 Apr 2024
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
Lixu Wang
Xinyu Du
Qi Zhu
34
0
0
08 Mar 2024
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection
Boyang Peng
Sanqing Qu
Yong Wu
Tianpei Zou
Lianghua He
Alois Knoll
Guang Chen
Changjun Jiang
AAML
37
3
0
07 Mar 2024
DeepEclipse: How to Break White-Box DNN-Watermarking Schemes
Alessandro Pegoraro
Carlotta Segna
Kavita Kumari
Ahmad-Reza Sadeghi
AAML
37
0
0
06 Mar 2024
Immunization against harmful fine-tuning attacks
Domenic Rosati
Jan Wehner
Kai Williams
Lukasz Bartoszcze
Jan Batzner
Hassan Sajjad
Frank Rudzicz
AAML
62
16
0
26 Feb 2024
Phase-driven Domain Generalizable Learning for Nonstationary Time Series
Payal Mohapatra
Lixu Wang
Qi Zhu
AI4TS
27
2
0
05 Feb 2024
Federated Learning with New Knowledge: Fundamentals, Advances, and Futures
Lixu Wang
Yang Zhao
Jiahua Dong
Ating Yin
Qinbin Li
Tianlin Li
Dusit Niyato
Qi Zhu
FedML
79
2
0
03 Feb 2024
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection
Lixu Wang
Shichao Xu
Xinyu Du
Qi Zhu
27
1
0
20 Jan 2024
Reinforcement Unlearning
Dayong Ye
Tianqing Zhu
Congcong Zhu
Derui Wang
Zewei Shi
Sheng Shen
Wanlei Zhou
Jason Xue
MU
26
7
0
26 Dec 2023
Federated Continual Novel Class Learning
Lixu Wang
Chenxi Liu
Junfeng Guo
Jiahua Dong
Tianlin Li
Heng-Chiao Huang
Qi Zhu
CLL
FedML
32
2
0
21 Dec 2023
MirrorNet: A TEE-Friendly Framework for Secure On-device DNN Inference
Ziyu Liu
Yukui Luo
Shijin Duan
Tong Zhou
Xiaolin Xu
FedML
17
10
0
16 Nov 2023
LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B
Simon Lermen
Charlie Rogers-Smith
Jeffrey Ladish
ALM
25
82
0
31 Oct 2023
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand
Junfeng Guo
Yiming Li
Lixu Wang
Shu-Tao Xia
Heng-Chiao Huang
Cong Liu
Boheng Li
30
50
0
09 Oct 2023
Towards Robust Model Watermark via Reducing Parametric Vulnerability
Guanhao Gan
Yiming Li
Dongxian Wu
Shu-Tao Xia
AAML
24
12
0
09 Sep 2023
OVLA: Neural Network Ownership Verification using Latent Watermarks
Feisi Fu
Wenchao Li
AAML
29
1
0
15 Jun 2023
Federated Incremental Semantic Segmentation
Jiahua Dong
Duzhen Zhang
Yang Cong
Wei Cong
Henghui Ding
Dengxin Dai
FedML
34
39
0
10 Apr 2023
A Survey on Class Imbalance in Federated Learning
Jing Zhang
Chuanwen Li
Jianzgong Qi
Jiayuan He
FedML
47
13
0
21 Mar 2023
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection
Lianyu Wang
Meng Wang
Daoqiang Zhang
Huazhu Fu
26
18
0
20 Mar 2023
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
Junfeng Guo
Yiming Li
Xun Chen
Hanqing Guo
Lichao Sun
Cong Liu
AAML
MLAU
21
95
0
07 Feb 2023
The Science of Detecting LLM-Generated Texts
Ruixiang Tang
Yu-Neng Chuang
Xia Hu
DeLMO
42
169
0
04 Feb 2023
DEJA VU: Continual Model Generalization For Unseen Domains
Chenxi Liu
Lixu Wang
Lingjuan Lyu
Chen Sun
Tianlin Li
Qi Zhu
CLL
OOD
25
22
0
25 Jan 2023
Unsupervised Non-transferable Text Classification
Guangtao Zeng
Wei Lu
32
6
0
23 Oct 2022
Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks
Run Wang
Jixing Ren
Boheng Li
Tianyi She
Wenhui Zhang
Liming Fang
Jing Chen
Chao Shen
Lina Wang
WIGM
32
16
0
14 Oct 2022
Dataset Inference for Self-Supervised Models
Adam Dziedzic
Haonan Duan
Muhammad Ahmad Kaleem
Nikita Dhawan
Jonas Guan
Yannis Cattan
Franziska Boenisch
Nicolas Papernot
32
26
0
16 Sep 2022
Federated Class-Incremental Learning
Jiahua Dong
Lixu Wang
Zhen Fang
Gan Sun
Shichao Xu
Tianlin Li
Qi Zhu
CLL
FedML
27
168
0
22 Mar 2022
PolicyCleanse: Backdoor Detection and Mitigation in Reinforcement Learning
Junfeng Guo
Ang Li
Cong Liu
AAML
27
14
0
08 Feb 2022
Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu
Deyi Liu
Junlin Yang
Colin Raffel
Marc Niethammer
OOD
AAML
49
189
0
25 Jul 2020
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
1