"data poisoning" Papers
14 papers found
Conference
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
Danni Yuan, Mingda Zhang, Shaokui Wei et al.
ICLR 2025arXiv:2312.06230
11
citations
Detecting and Corrupting Convolution-based Unlearnable Examples
Minghui Li, Xianlong Wang, Zhifei Yu et al.
AAAI 2025paperarXiv:2311.18403
How Far Are We from True Unlearnability?
Kai Ye, Liangcai Su, Chenxiong Qian
ICLR 2025arXiv:2509.08058
4
citations
KAIROS: Scalable Model-Agnostic Data Valuation
Jiongli Zhu, Parjanya Prashant, Alex Cloninger et al.
NEURIPS 2025arXiv:2506.23799
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting
Jiahao Lu, Yifan Zhang, Qiuhong Shen et al.
ICLR 2025arXiv:2410.08190
7
citations
VLMs can Aggregate Scattered Training Patches
Zhanhui Zhou, Lingjie Chen, Chao Yang et al.
NEURIPS 2025arXiv:2506.03614
Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
Shuaiwei Yuan, Junyu Dong, Yuezun Li
CVPR 2025arXiv:2505.08255
2
citations
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning
Harsh Chaudhari, Giorgio Severi, Alina Oprea et al.
ICLR 2024arXiv:2310.03838
8
citations
Data Poisoning Quantization Backdoor Attack
Tran Huynh, Anh Tran, Khoa Doan et al.
ECCV 2024
3
citations
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Lijia Yu, Shuang Liu, Yibo Miao et al.
ICML 2024arXiv:2406.00588
11
citations
Leveraging Imperfect Restoration for Data Availability Attack
YI HUANG, Jeremy Styborski, Mingzhi Lyu et al.
ECCV 2024
1
citations
Progressive Poisoned Data Isolation for Training-Time Backdoor Defense
Yiming Chen, Haiwei Wu, Jiantao Zhou
AAAI 2024paperarXiv:2312.12724
16
citations
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise
Yixin Liu, Kaidi Xu, Xun Chen et al.
AAAI 2024paperarXiv:2311.13091
17
citations
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline
Haonan Wang, Qianli Shen, Yao Tong et al.
ICML 2024