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09/18/2023
ACWRecommender: A Tool for Validating Actionable Warnings with Weak Supervision
Static analysis tools have gained popularity among developers for findin...
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08/26/2023
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization
Existing studies show that code summaries help developers understand and...
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08/17/2023
Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages
Developers write logging statements to generate logs that provide run-ti...
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02/13/2023
SkCoder: A Sketch-based Approach for Automatic Code Generation
Recently, deep learning techniques have shown great success in automatic...
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10/31/2022
CodeEditor: Learning to Edit Source Code with Pre-trained Models
Developers often perform repetitive code editing activities for various ...
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10/31/2022
Poison Attack and Defense on Deep Source Code Processing Models
In the software engineering community, deep learning (DL) has recently b...
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08/29/2022
Demystifying Arch-hints for Model Extraction: An Attack in Unified Memory System
The deep neural network (DNN) models are deemed confidential due to thei...
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08/19/2022
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks
DNN-based video object detection (VOD) powers autonomous driving and vid...
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07/04/2022
On implementing SWMR registers from SWSR registers in systems with Byzantine failures
The implementation of registers from (potentially) weaker registers is a...
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04/12/2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation
As spiking neural networks (SNNs) are deployed increasingly in real-worl...
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04/12/2022
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection
Autonomous driving faces great safety challenges for a lack of global pe...
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03/12/2022
Information retrieval for label noise document ranking by bag sampling and group-wise loss
Long Document retrieval (DR) has always been a tremendous challenge for ...
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03/07/2022
Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis
Point cloud completion is a generation and estimation issue derived from...
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10/27/2021
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
Adversarial patch attacks that craft the pixels in a confined region of ...
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08/03/2021
An Impossibility Result on Strong Linearizability in Message-Passing Systems
We prove that in asynchronous message-passing systems where at most one ...
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02/26/2021
On Register Linearizability and Termination
In a seminal work, Golab et al. showed that a randomized algorithm that ...
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10/28/2020
On Linearizability and the Termination of Randomized Algorithms
We study the question of whether the "termination with probability 1" pr...
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09/26/2020
Rubik: A Hierarchical Architecture for Efficient Graph Learning
Graph convolutional network (GCN) emerges as a promising direction to le...
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08/09/2020
SEALing Neural Network Models in Secure Deep Learning Accelerators
Deep learning (DL) accelerators are increasingly deployed on edge device...
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06/11/2020
Randomized Consensus with Regular Registers
The well-known randomized consensus algorithm by Aspnes and Herlihy for ...
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01/07/2020
HyGCN: A GCN Accelerator with Hybrid Architecture
In this work, we first characterize the hybrid execution patterns of GCN...
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01/01/2020
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
Recently, backpropagation through time inspired learning algorithms are ...
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11/03/2019
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization
Spiking neural network is an important family of models to emulate the b...
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06/01/2019
Optimal Register Construction in M&M Systems
Motivated by recent distributed systems technology, Aguilera et al. intr...
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03/10/2019
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints
As neural networks continue their reach into nearly every aspect of soft...
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01/28/2019
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture
Neural Network (NN) accelerators with emerging ReRAM (resistive random a...
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01/23/2019
Programmable Neural Network Trojan for Pre-Trained Feature Extractor
Neural network (NN) trojaning attack is an emerging and important attack...
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10/25/2018
Batch Normalization Sampling
Deep Neural Networks (DNNs) thrive in recent years in which Batch Normal...
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10/01/2018
Dynamic Sparse Graph for Efficient Deep Learning
We propose to execute deep neural networks (DNNs) with dynamic and spars...
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07/25/2018
Crossbar-aware neural network pruning
Crossbar architecture based devices have been widely adopted in neural n...
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08/06/2017