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08/14/2023
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning
Multimodal contrastive learning aims to train a general-purpose feature ...
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08/07/2023
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning
Federated learning (FL) is a nascent distributed learning paradigm to tr...
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07/23/2023
Downstream-agnostic Adversarial Examples
Self-supervised learning usually uses a large amount of unlabeled data t...
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07/15/2023
Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training
Adversarial examples (AEs) for DNNs have been shown to be transferable: ...
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05/08/2023
Scalable Optimal Margin Distribution Machine
Optimal margin Distribution Machine (ODM) is a newly proposed statistica...
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03/27/2023
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency
Deep neural networks are proven to be vulnerable to backdoor attacks. De...
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02/17/2023
Query-Centered Temporal Community Search via Time-Constrained Personalized PageRank
Existing temporal community search suffers from two defects: (i) they ig...
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11/22/2022
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples
Point cloud completion, as the upstream procedure of 3D recognition and ...
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10/13/2022
CPSAA: Accelerating Sparse Attention using Crossbar-based Processing-In-Memory Architecture
The attention mechanism requires huge computational efforts to process u...
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10/04/2022
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
In this paper, we propose a Graph Inception Diffusion Networks(GIDN) mod...
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07/01/2022
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label
Due to its powerful feature learning capability and high efficiency, dee...
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04/28/2022
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection
Federated learning (FL) enables multiple clients to collaboratively trai...
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04/06/2022
Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUs
The emerging Graph Convolutional Network (GCN) has now been widely used ...
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03/07/2022
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer
While deep face recognition (FR) systems have shown amazing performance ...
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02/14/2022
What Do They Capture? – A Structural Analysis of Pre-Trained Language Models for Source Code
Recently, many pre-trained language models for source code have been pro...
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01/19/2022
Cross-Language Binary-Source Code Matching with Intermediate Representations
Binary-source code matching plays an important role in many security and...
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12/09/2021
Clairvoyance: Intelligent Route Planning for Electric Buses Based on Urban Big Data
Nowadays many cities around the world have introduced electric buses to ...
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11/29/2021
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization
The underlying assumption of recent federated learning (FL) paradigms is...
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10/19/2021
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
User interest exploration is an important and challenging topic in recom...
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08/02/2021
Towards Making Deep Learning-based Vulnerability Detectors Robust
Automatically detecting software vulnerabilities in source code is an im...
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07/08/2021
Obfuscation-resilient Android Malware Analysis Based on Contrastive Learning
Due to its open-source nature, Android operating system has been the mai...
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06/07/2021
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from...
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05/25/2021
ScalaBFS: A Scalable BFS Accelerator on HBM-Enhanced FPGAs
High Bandwidth Memory (HBM) provides massive aggregated memory bandwidth...
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04/15/2021
Sparse online relative similarity learning
For many data mining and machine learning tasks, the quality of a simila...
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12/06/2020
NaturalCC: A Toolkit to Naturalize the Source Code Corpus
We present NaturalCC, an efficient and extensible toolkit to bridge the ...
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10/18/2020
Optimizing Memory Performance of Xilinx FPGAs under Vitis
Plenty of research efforts have been devoted to FPGA-based acceleration,...
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10/09/2020
A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions
Non-Volatile Main Memories (NVMMs) have recently emerged as promising te...
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01/08/2020
VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector
Automatically detecting software vulnerabilities is an important problem...
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01/08/2020
μVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection
Fine-grained software vulnerability detection is an important and challe...
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02/26/2019
A Survey on Graph Processing Accelerators: Challenges and Opportunities
Graph is a well known data structure to represent the associated relatio...
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02/15/2019
Optimizing the SSD Burst Buffer by Traffic Detection
Currently, Burst buffer has been proposed to manage the SSD buffering of...
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07/18/2018
SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities
The detection of software vulnerabilities (or vulnerabilities for short)...
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03/12/2018
SDPMN: Privacy Preserving MapReduce Network Using SDN
MapReduce is a popular programming model and an associated implementatio...
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01/05/2018
VulDeePecker: A Deep Learning-Based System for Vulnerability Detection
The automatic detection of software vulnerabilities is an important rese...
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11/24/2017