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08/30/2023
SAM-Med2D
The Segment Anything Model (SAM) represents a state-of-the-art research ...
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03/23/2023
Primer: Fast Private Transformer Inference on Encrypted Data
It is increasingly important to enable privacy-preserving inference for ...
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03/16/2023
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning
Self-supervised learning (SSL) is a commonly used approach to learning a...
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03/05/2023
SePaint: Semantic Map Inpainting via Multinomial Diffusion
Prediction beyond partial observations is crucial for robots to navigate...
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02/27/2023
Multi-Feature Integration for Perception-Dependent Examination-Bias Estimation
Eliminating examination bias accurately is pivotal to apply click-throug...
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02/27/2023
Pretraining De-Biased Language Model with Large-scale Click Logs for Document Ranking
Pre-trained language models have achieved great success in various large...
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02/16/2023
QTrojan: A Circuit Backdoor Against Quantum Neural Networks
We propose a circuit-level backdoor attack, QTrojan, against Quantum Neu...
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11/24/2022
CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption
Fully homomorphic encryption (FHE) protects data privacy in cloud comput...
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09/04/2022
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees
Integrating multiple online social networks (OSNs) has important implica...
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08/27/2022
TrojViT: Trojan Insertion in Vision Transformers
Vision Transformers (ViTs) have demonstrated the state-of-the-art perfor...
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08/14/2022
Gradient Mask: Lateral Inhibition Mechanism Improves Performance in Artificial Neural Networks
Lateral inhibitory connections have been observed in the cortex of the b...
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06/14/2022
Self-Supervised Pretraining for Differentially Private Learning
We demonstrate self-supervised pretraining (SSP) is a scalable solution ...
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05/24/2022
Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory
The rising popularity of online social network services has attracted lo...
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03/01/2022
FHEBench: Benchmarking Fully Homomorphic Encryption Schemes
Fully Homomorphic Encryption (FHE) emerges one of the most promising sol...
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02/17/2022
MATCHA: A Fast and Energy-Efficient Accelerator for Fully Homomorphic Encryption over the Torus
Fully Homomorphic Encryption over the Torus (TFHE) allows arbitrary comp...
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09/03/2021
SMART: A Heterogeneous Scratchpad Memory Architecture for Superconductor SFQ-based Systolic CNN Accelerators
Ultra-fast & low-power superconductor single-flux-quantum (SFQ)-based CN...
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08/06/2021
Transferring Knowledge Distillation for Multilingual Social Event Detection
Recently published graph neural networks (GNNs) show promising performan...
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05/31/2021
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture
Recently Homomorphic Encryption (HE) is used to implement Privacy-Preser...
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01/13/2021
EXMA: A Genomics Accelerator for Exact-Matching
Genomics is the foundation of precision medicine, global food security a...
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10/22/2020
CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU
Billions of text analysis requests containing private emails, personal t...
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08/04/2020
Helix: Algorithm/Architecture Co-design for Accelerating Nanopore Genome Base-calling
Nanopore genome sequencing is the key to enabling personalized medicine,...
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06/07/2020
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference
Hybrid Privacy-Preserving Neural Network (HPPNN) implementing linear lay...
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02/20/2020
Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning
Segmentation from renal pathological images is a key step in automatic a...
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11/16/2019
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data
Big data is one of the cornerstones to enabling and training deep neural...
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07/19/2019
Liger: Combining Interaction Paradigms for Visual Analysis
Visualization tools usually leverage a single interaction paradigm (e.g....
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06/01/2019
SHE: A Fast and Accurate Privacy-Preserving Deep Neural Network Via Leveled TFHE and Logarithmic Data Representation
Homomorphic Encryption (HE) is one of the most promising security soluti...
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03/11/2019
A GraphBLAS Approach for Subgraph Counting
Subgraph counting aims to count the occurrences of a subgraph template T...
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02/15/2019
AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices
In this paper, we propose a hierarchical deep reinforcement learning (DR...
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11/13/2018
Pose Invariant 3D Face Reconstruction
3D face reconstruction is an important task in the field of computer vis...
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04/25/2018
High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication
Subgraph counting aims to count the number of occurrences of a subgraph ...
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03/14/2018
PT-Spike: A Precise-Time-Dependent Single Spike Neuromorphic Architecture with Efficient Supervised Learning
One of the most exciting advancements in AI over the last decade is the ...
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03/14/2018