Showing 1–20 of 25 results
/ Date/ Name
May 9, 2022ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated LearningMar 13, 2023Model Extraction Attacks on Split Federated LearningJul 25, 2025K-PACT: Kernel Planning for Adaptive Context Switching -- A Framework for Clustering, Placement, and Prefetching in Spectrum SensingFeb 19, 2026TFL: Targeted Bit-Flip Attack on Large Language ModelAug 18, 2022An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud DataJul 20, 2021Communication and Computation Reduction for Split Learning using Asynchronous TrainingJan 18, 2021Deep Learning for Moving Blockage Prediction using Real Millimeter Wave MeasurementsNov 26, 2022Profile-Guided Parallel Task Extraction and Execution for Domain Specific Heterogeneous SoCSep 26, 2025SBFA: Single Sneaky Bit Flip Attack to Break Large Language ModelsJan 27, 2020Automated Parallel Kernel Extraction from Dynamic Application TracesNov 16, 2021Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World DemonstrationAug 1, 2021Versa: A Dataflow-Centric Multiprocessor with 36 Systolic ARM Cortex-M4F Cores and a Reconfigurable Crossbar-Memory Hierarchy in 28nmAug 14, 2021SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural NetworksJan 20, 2021RADAR: Run-time Adversarial Weight Attack Detection and Accuracy RecoveryJul 24, 2020T-BFA: Targeted Bit-Flip Adversarial Weight AttackNov 17, 2022Proactively Predicting Dynamic 6G Link Blockages Using LiDAR and In-Band SignaturesJan 29, 2023Accelerating Graph Analytics on a Reconfigurable Architecture with a Data-Indirect PrefetcherApr 19, 2018Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured CompressionJul 6, 2021Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural NetworksNov 18, 2021LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems