SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores

Kavli Affiliate: Hu Zhan | First 5 Authors: Leqian Zheng, Lei Xu, Cong Wang, Sheng Wang, Yuke Hu | Summary: Numerous studies have underscored the significant privacy risks associated with various leakage patterns in encrypted data stores. Most existing systems that conceal leakage either (1) incur substantial overheads, (2) focus on specific subsets of leakage […]


Continue.. SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores

SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores

Kavli Affiliate: Hu Zhan | First 5 Authors: Leqian Zheng, Lei Xu, Cong Wang, Sheng Wang, Yuke Hu | Summary: Numerous studies have underscored the significant privacy risks associated with various leakage patterns in encrypted data stores. While many solutions have been proposed to mitigate these leakages, they either (1) incur substantial overheads, (2) focus […]


Continue.. SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores

Searching for the nano-Hertz stochastic gravitational wave background with the Chinese Pulsar Timing Array Data Release I

Kavli Affiliate: Kejia Lee | First 5 Authors: Heng Xu, Siyuan Chen, Yanjun Guo, Jinchen Jiang, Bojun Wang | Summary: Observing and timing a group of millisecond pulsars (MSPs) with high rotational stability enables the direct detection of gravitational waves (GWs). The GW signals can be identified from the spatial correlations encoded in the times-of-arrival […]


Continue.. Searching for the nano-Hertz stochastic gravitational wave background with the Chinese Pulsar Timing Array Data Release I

Upgraded waveform model of eccentric binary black hole based on effective-one-body-numerical-relativity for spin-aligned binary black holes

Kavli Affiliate: Lijing Shao | First 5 Authors: Xiaolin Liu, Zhoujian Cao, Lijing Shao, , | Summary: Effective one body numerical relativity waveform models for spin aligned binary black holes (SEOBNR) are based on the effective one body theoretical framework and numerical relativity simulation results. SEOBNR models have evolved through version 1 to version 4. […]


Continue.. Upgraded waveform model of eccentric binary black hole based on effective-one-body-numerical-relativity for spin-aligned binary black holes

Optical Identification of the Shortest-Period Spider Pulsar System M71E

Kavli Affiliate: Subo Dong | First 5 Authors: Zhuokai Liu, Subo Dong, , , | Summary: M71E is a spider pulsar (i.e., a millisecond pulsar with a tight binary companion) with the shortest known orbital period of P=53.3 min discovered by Pan et al. (2023). Their favored evolutionary model suggests that it bridges between two […]


Continue.. Optical Identification of the Shortest-Period Spider Pulsar System M71E

Optical Identification of the Shortest-Period Spider Pulsar System M71E

Kavli Affiliate: Subo Dong | First 5 Authors: Zhuokai Liu, Subo Dong, , , | Summary: M71E is a spider pulsar (i.e., a millisecond pulsar with a tight binary companion) with the shortest known orbital period of P=53.3 min discovered by Pan et al. (2023). Their favored evolutionary model suggests that it bridges between two […]


Continue.. Optical Identification of the Shortest-Period Spider Pulsar System M71E

Discovering two-dimensional magnetic topological insulators by machine learning

Kavli Affiliate: Jing Wang | First 5 Authors: Haosheng Xu, Yadong Jiang, Huan Wang, Jing Wang, | Summary: Topological materials with unconventional electronic properties have been investigated intensively for both fundamental and practical interests. Thousands of topological materials have been identified by symmetry-based analysis and ab initio calculations. However, the predicted magnetic topological insulators with […]


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DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]


Continue.. DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]


Continue.. DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data