b'Lei Jiang'

research

∙ 08/30/2023

SAM-Med2D

The Segment Anything Model (SAM) represents a state-of-the-art research ...

0 Junlong Cheng, et al. ∙

research

∙ 03/23/2023

Primer: Fast Private Transformer Inference on Encrypted Data

It is increasingly important to enable privacy-preserving inference for ...

0 Mengxin Zheng, et al. ∙

research

∙ 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...

0 Mengxin Zheng, et al. ∙

research

∙ 03/05/2023

SePaint: Semantic Map Inpainting via Multinomial Diffusion

Prediction beyond partial observations is crucial for robots to navigate...

0 Zheng Chen, et al. ∙

research

∙ 02/27/2023

Multi-Feature Integration for Perception-Dependent Examination-Bias Estimation

Eliminating examination bias accurately is pivotal to apply click-throug...

0 Xiaoshu Chen, et al. ∙

research

∙ 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...

0 Xiangsheng Li, et al. ∙

research

∙ 02/16/2023

QTrojan: A Circuit Backdoor Against Quantum Neural Networks

We propose a circuit-level backdoor attack, QTrojan, against Quantum Neu...

0 Cheng Chu, et al. ∙

research

∙ 11/24/2022

CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption

Fully homomorphic encryption (FHE) protects data privacy in cloud comput...

0 Mengxin Zheng, et al. ∙

research

∙ 09/04/2022

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees

Integrating multiple online social networks (OSNs) has important implica...

6 Jiaqian Ren, et al. ∙

research

∙ 08/27/2022

TrojViT: Trojan Insertion in Vision Transformers

Vision Transformers (ViTs) have demonstrated the state-of-the-art perfor...

0 Mengxin Zheng, et al. ∙

research

∙ 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...

0 Lei Jiang, et al. ∙

research

∙ 06/14/2022

Self-Supervised Pretraining for Differentially Private Learning

We demonstrate self-supervised pretraining (SSP) is a scalable solution ...

0 Arash Asadian, et al. ∙

research

∙ 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...

7 Jiaqian Ren, et al. ∙

research

∙ 03/01/2022

FHEBench: Benchmarking Fully Homomorphic Encryption Schemes

Fully Homomorphic Encryption (FHE) emerges one of the most promising sol...

0 Lei Jiang, et al. ∙

research

∙ 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...

0 Lei Jiang, et al. ∙

research

∙ 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...

0 Farzaneh Zokaee, et al. ∙

research

∙ 08/06/2021

Transferring Knowledge Distillation for Multilingual Social Event Detection

Recently published graph neural networks (GNNs) show promising performan...

8 Jiaqian Ren, et al. ∙

research

∙ 05/31/2021

HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture

Recently Homomorphic Encryption (HE) is used to implement Privacy-Preser...

0 Qian Lou, et al. ∙

research

∙ 01/13/2021

EXMA: A Genomics Accelerator for Exact-Matching

Genomics is the foundation of precision medicine, global food security a...

0 Lei Jiang, et al. ∙

research

∙ 10/22/2020

CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU

Billions of text analysis requests containing private emails, personal t...

18 Bo Feng, et al. ∙

research

∙ 08/04/2020

Helix: Algorithm/Architecture Co-design for Accelerating Nanopore Genome Base-calling

Nanopore genome sequencing is the key to enabling personalized medicine,...

0 Qian Lou, et al. ∙

research

∙ 06/07/2020

AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference

Hybrid Privacy-Preserving Neural Network (HPPNN) implementing linear lay...

0 Qian Lou, et al. ∙

research

∙ 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...

0 Ke Mei, et al. ∙

research

∙ 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...

11 Qian Lou, et al. ∙

research

∙ 07/19/2019

Liger: Combining Interaction Paradigms for Visual Analysis

Visualization tools usually leverage a single interaction paradigm (e.g....

0 Bahador Saket, et al. ∙

research

∙ 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...

0 Qian Lou, et al. ∙

research

∙ 03/11/2019

A GraphBLAS Approach for Subgraph Counting

Subgraph counting aims to count the occurrences of a subgraph template T...

0 Langshi Chen, et al. ∙

research

∙ 02/15/2019

AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices

In this paper, we propose a hierarchical deep reinforcement learning (DR...

0 Qian Lou, et al. ∙

research

∙ 11/13/2018

Pose Invariant 3D Face Reconstruction

3D face reconstruction is an important task in the field of computer vis...

16 Lei Jiang, et al. ∙

research

∙ 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 ...

0 Langshi Chen, et al. ∙

research

∙ 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 ...

0 Tao Liu, et al. ∙

research

∙ 03/14/2018

DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework

As one of most fascinating machine learning techniques, deep neural netw...

0 Zihao Liu, et al. ∙

Lei Jiang

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