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
Adversarial Robustness of Convolutional Models Learned in the Frequency DomainSUBHAJIT CHAUDHURYToshihiko Yamasaki2024ICASSP 2024
SAR2NDVI: Pre-training for SAR-to-NDVI Image TranslationDaiki KimuraTatsuya Ishikawaet al.2024ICASSP 2024
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMMChulin XiePin-Yu Chenet al.2024IEEE SaTML 2024
Adaptive Conformal Regression with Split-Jackknife+ ScoresNicolas DeutschmannMattia Rigottiet al.2024TMLR
Forecasting adversarial actions using judgment decomposition-recompositionYolanda GomezJesus Rios Aliagaet al.2024International Journal of Forecasting
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution ShiftShengwei AnSheng-Yen Chouet al.2024AAAI 2024
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI PlanningTurgay CaglarSirine Belhajet al.2024AAAI 2024