Poster "privacy preservation" Papers
17 papers found
Conference
An Inversion-based Measure of Memorization for Diffusion Models
Zhe Ma, Qingming Li, Xuhong Zhang et al.
ICCV 2025arXiv:2405.05846
2
citations
Catastrophic Failure of LLM Unlearning via Quantization
Zhiwei Zhang, Fali Wang, Xiaomin Li et al.
ICLR 2025arXiv:2410.16454
49
citations
CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion
Joshua Kazdan, Hao Sun, Jiaqi Han et al.
ICLR 2025arXiv:2409.07025
2
citations
Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization
Baoyi He, Luotian Yuan, Ying Wei et al.
NEURIPS 2025
Does Training with Synthetic Data Truly Protect Privacy?
Yunpeng Zhao, Jie Zhang
ICLR 2025arXiv:2502.12976
8
citations
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
Hanhui Wang, Yihua Zhang, Ruizheng Bai et al.
CVPR 2025arXiv:2411.16832
8
citations
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
Changlong Shi, He Zhao, Bingjie Zhang et al.
CVPR 2025arXiv:2503.15842
7
citations
GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
Shengbo Gong, Juntong Ni, Noveen Sachdeva et al.
NEURIPS 2025arXiv:2406.16715
8
citations
OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction
Jie Yan, Jing Liu, Zhong-Yuan Zhang
NEURIPS 2025arXiv:2505.13071
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
Zaid Tasneem, Akshat Dave, Abhishek Singh et al.
ECCV 2024arXiv:2403.13199
4
citations
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
Jinglin Liang, Jin Zhong, Hanlin Gu et al.
ECCV 2024arXiv:2409.01128
19
citations
Feature Diversification and Adaptation for Federated Domain Generalization
Seunghan Yang, Seokeon Choi, Hyunsin Park et al.
ECCV 2024arXiv:2407.08245
5
citations
FedVAD: Enhancing Federated Video Anomaly Detection with GPT-Driven Semantic Distillation
Fan Qi, Ruijie Pan, Huaiwen Zhang et al.
ECCV 2024
2
citations
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
Joshua C. Zhao, Ahaan Dabholkar, Atul Sharma et al.
CVPR 2024arXiv:2403.18144
4
citations
PID: Prompt-Independent Data Protection Against Latent Diffusion Models
Ang Li, Yichuan Mo, Mingjie Li et al.
ICML 2024arXiv:2406.15305
5
citations
Real-Fake: Effective Training Data Synthesis Through Distribution Matching
Jianhao Yuan, Jie Zhang, Shuyang Sun et al.
ICLR 2024arXiv:2310.10402
45
citations
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
George-Octavian Bărbulescu, Peter Triantafillou
ICML 2024