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DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective
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DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective

Shuo Shao
Yiming Li
Mengren Zheng
Zhiyang Hu
Yukun Chen
Boheng Li
Y. He
Junfeng Guo
D. Tao
Zhan Qin
    AAML
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Papers citing "DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective"

3 / 3 papers shown
Title
SoK: Large Language Model Copyright Auditing via Fingerprinting
SoK: Large Language Model Copyright Auditing via Fingerprinting
Shuo Shao
Yiming Li
Y. He
Hongwei Yao
Wenyuan Yang
D. Tao
Zhan Qin
36
0
0
27 Aug 2025
Evading Data Provenance in Deep Neural Networks
Evading Data Provenance in Deep Neural Networks
Hongyu Zhu
Sichu Liang
Wenwen Wang
Zhuomeng Zhang
Fangqi Li
Shi-Lin Wang
AAML
69
0
0
01 Aug 2025
FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint
FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint
Shuo Shao
Haozhe Zhu
Hongwei Yao
Yiming Li
Minlie Huang
Zhan Qin
AAML
659
4
0
26 Jan 2025