Learning Granger Causality from Instance-wise Self-attentive Hawkes ProcessesDongxia WuIde-San Ideet al.2024AISTATS 2024
Efficient Privacy-Preserving Viral Strain Classification via k-mer Signatures and FHEAdi AkaviaBen Galiliet al.2024RECOMB 2024
Privacy Preserving Feature Selection for Sparse Linear Regression on Gene Expression DataAdi AkaviaBen Galiliet al.2024RECOMB 2024
MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous SystemsZishen WanNandhini Chandramoorthyet al.2024ASPLOS 2024
Designing for Agonism: 12 Workers’ Perspectives on Contesting Technology FuturesFelicia JingSara Bergeret al.2024CSCW 2024
DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy AggregationPau-Chen ChengKevin Eykholtet al.2024EuroSys 2024
Using Large Language Models to protect information search in Multi-Domain OperationsDinesh C. VermaDavid Beymeret al.2024SPIE DCS 2024
SAR2NDVI: Pre-training for SAR-to-NDVI Image TranslationDaiki KimuraTatsuya Ishikawaet al.2024ICASSP 2024
Adversarial Robustness of Convolutional Models Learned in the Frequency DomainSUBHAJIT CHAUDHURYToshihiko Yamasaki2024ICASSP 2024
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMMChulin XiePin-Yu Chenet al.2024IEEE SaTML 2024