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Refinado por: assunto: Computer Science - Learning remover assunto: Privacy remover
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Tracing Privacy Leakage of Language Models to Training Data via Adjusted Influence Functions
Tracing Privacy Leakage of Language Models to Training Data via Adjusted Influence Functions
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Tracing Privacy Leakage of Language Models to Training Data via Adjusted Influence Functions

Liu, Jinxin ; Yang, Zao

arXiv.org, 2024-08

Ithaca: Cornell University Library, arXiv.org

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2
Delving into Differentially Private Transformer
Delving into Differentially Private Transformer
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Delving into Differentially Private Transformer

Ding, Youlong ; Wu, Xueyang ; Meng, Yining ; Luo, Yonggang ; Wang, Hao ; Pan, Weike

arXiv.org, 2024-08

Ithaca: Cornell University Library, arXiv.org

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3
Tackling the Local Bias in Federated Graph Learning
Tackling the Local Bias in Federated Graph Learning
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Tackling the Local Bias in Federated Graph Learning

Zhang, Binchi ; Luo, Minnan ; Feng, Shangbin ; Liu, Ziqi ; Zhou, Jun ; Zheng, Qinghua

arXiv.org, 2024-08

Ithaca: Cornell University Library, arXiv.org

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4
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
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Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures

Dibbo, Sayanton V ; Breuer, Adam ; Moore, Juston ; Teti, Michael

arXiv.org, 2024-08

Ithaca: Cornell University Library, arXiv.org

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5
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction
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DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction

Zhang, Xinwei ; Bu, Zhiqi ; Hong, Mingyi ; Razaviyayn, Meisam

arXiv.org, 2024-08

Ithaca: Cornell University Library, arXiv.org

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6
Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
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Locally Differentially Private Distributed Online Learning with Guaranteed Optimality

Chen, Ziqin ; Wang, Yongqiang

arXiv.org, 2024-08

Ithaca: Cornell University Library, arXiv.org

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7
Federated Neural Graph Databases
Federated Neural Graph Databases
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Federated Neural Graph Databases

Hu, Qi ; Jiang, Weifeng ; Li, Haoran ; Wang, Zihao ; Bai, Jiaxin ; Mao, Qianren ; Song, Yangqiu ; Fan, Lixin ; Li, Jianxin

arXiv.org, 2024-08

Ithaca: Cornell University Library, arXiv.org

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8
Data Exposure from LLM Apps: An In-depth Investigation of OpenAI's GPTs
Data Exposure from LLM Apps: An In-depth Investigation of OpenAI's GPTs
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Data Exposure from LLM Apps: An In-depth Investigation of OpenAI's GPTs

Jaff, Evin ; Wu, Yuhao ; Zhang, Ning ; Iqbal, Umar

arXiv.org, 2024-08

Ithaca: Cornell University Library, arXiv.org

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9
Improving the Utility of Differentially Private Clustering through Dynamical Processing
Improving the Utility of Differentially Private Clustering through Dynamical Processing
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Improving the Utility of Differentially Private Clustering through Dynamical Processing

Byun, Junyoung ; Choi, Yujin ; Lee, Jaewook

arXiv.org, 2024-08

Ithaca: Cornell University Library, arXiv.org

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10
It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss
It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss
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It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss

Annamalai, Meenatchi Sundaram Muthu Selva

arXiv.org, 2024-08

Ithaca: Cornell University Library, arXiv.org

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