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Affinity Event
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Armadillo: Robust Secure Aggregation for Federated Learning with Input Validation
Yiping Ma · Yue Guo · Harish Karthikeyan · Antigoni Polychroniadou
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Workshop
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Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption
Leo de Castro · Antigoni Polychroniadou · Daniel Escudero
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Workshop
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Unified Lookup Tables: Privacy-Preserving Foundation Models
Nikita Janakarajan · Irina Morales · Marvin Alberts · Andrea Giovannini · Matteo Manica · Antonio Foncubierta-Rodriguez
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Affinity Event
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OPA: One-shot Private Aggregation with Single Client Interaction and its Applications to Federated Learning
Harish Karthikeyan · Antigoni Polychroniadou
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Workshop
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Sun 12:00
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Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML
Siddhant Dutta · Pavana Karanth · Pedro Maciel Xavier · Iago de Freitas · Nouhaila Innan · Sadok Ben Yahia · Muhammad Shafique · David Bernal Neira
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Workshop
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Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
Kieleh Ngong Ivoline Clarisse · Swanand Kadhe · Hao Wang · Keerthiram Murugesan · Justin D Weisz · Amit Dhurandhar · Karthikeyan Natesan Ramamurthy
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Tutorial
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Tue 13:30
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PrivacyML: Meaningful Privacy-Preserving Machine Learning and How To Evaluate AI Privacy
Mimee Xu · Dmitrii Usynin · Fazl Barez
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Affinity Event
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Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture
Mohamad Haj Fares · Ahmed Mohamed Saad Emam Saad
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Workshop
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Sat 12:00
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A teacher-teacher framework for clinical language representation learning
Feiqing Huang · Shenghan Zhang · Sara Sweet · Tianxi Cai
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