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09/21/2023
DeepTheft: Stealing DNN Model Architectures through Power Side Channel
Deep Neural Network (DNN) models are often deployed in resource-sharing ...
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07/12/2023
GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human
3D human pose estimation has been researched for decades with promising ...
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02/17/2023
CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension
The task of multimodal referring expression comprehension (REC), aiming ...
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02/09/2023
Imperceptible Sample-Specific Backdoor to DNN with Denoising Autoencoder
The backdoor attack poses a new security threat to deep neural networks....
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09/06/2022
MACAB: Model-Agnostic Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-World
Object detection is the foundation of various critical computer-vision t...
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07/19/2022
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning
Federated Learning (FL), a distributed machine learning paradigm, has be...
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05/31/2022
CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences
Backdoor attacks have been a critical threat to deep neural network (DNN...
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03/29/2022
Systematically Evaluation of Challenge Obfuscated APUFs
As a well-known physical unclonable function that can provide huge numbe...
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03/24/2022
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
Multiple datasets and open challenges for object detection have been int...
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02/10/2022
PPA: Preference Profiling Attack Against Federated Learning
Federated learning (FL) trains a global model across a number of decentr...
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01/21/2022
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World
Deep learning models have been shown to be vulnerable to recent backdoor...
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01/09/2022
A Retrospective and Futurespective of Rowhammer Attacks and Defenses on DRAM
Rowhammer has drawn much attention from both academia and industry in th...
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11/22/2021
NTD: Non-Transferability Enabled Backdoor Detection
A backdoor deep learning (DL) model behaves normally upon clean inputs b...
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10/03/2021
Design and Evaluate Recomposited OR-AND-XOR-PUF
Physical Unclonable Function (PUF) is a hardware security primitive with...
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09/07/2021
GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition
The data scarcity problem in Electroencephalography (EEG) based affectiv...
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08/20/2021
Quantization Backdoors to Deep Learning Models
There is currently a burgeoning demand for deploying deep learning (DL) ...
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08/12/2021
Progressive Coordinate Transforms for Monocular 3D Object Detection
Recognizing and localizing objects in the 3D space is a crucial ability ...
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05/09/2021
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things
Though deep neural network models exhibit outstanding performance for va...
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04/19/2021
Attention in Attention Network for Image Super-Resolution
Convolutional neural networks have allowed remarkable advances in single...
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03/03/2021
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
Federated learning (FL) and split learning (SL) are state-of-the-art dis...
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02/20/2021
SoftTRR: Protect Page Tables Against RowHammer Attacks using Software-only Target Row Refresh
Rowhammer attacks that corrupt level-1 page tables to gain kernel privil...
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02/04/2021
SelfNorm and CrossNorm for Out-of-Distribution Robustness
Normalization techniques are crucial in stabilizing and accelerating the...
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09/14/2020
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
This paper reviews the video extreme super-resolution challenge associat...
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07/21/2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
This work provides the community with a timely comprehensive review of b...
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07/17/2020
PThammer: Cross-User-Kernel-Boundary Rowhammer through Implicit Accesses
Rowhammer is a hardware vulnerability in DRAM memory, where repeated acc...
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04/30/2020
Improving Semantic Segmentation via Self-Training
Deep learning usually achieves the best results with complete supervisio...
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04/19/2020
ResNeSt: Split-Attention Networks
While image classification models have recently continued to advance, mo...
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04/05/2020
DRAMDig: A Knowledge-assisted Tool to Uncover DRAM Address Mapping
As recently emerged rowhammer exploits require undocumented DRAM address...
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02/03/2020
GhostKnight: Breaching Data Integrity via Speculative Execution
Existing speculative execution attacks are limited to breaching confiden...
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12/06/2019
TeleHammer : A Stealthy Cross-Boundary Rowhammer Technique
Rowhammer exploits frequently access specific DRAM rows (i.e., hammer ro...
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11/23/2019
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks
This work corroborates a run-time Trojan detection method exploiting STR...
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10/21/2019
PiBooster: A Light-Weight Approach to Performance Improvements in Page Table Management for Paravirtual Virtual-Machines
In paravirtualization, the page table management components of the guest...
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09/23/2019
Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization
Traffic congestion in metropolitan areas is a world-wide problem that ca...
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07/09/2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
We present GluonCV and GluonNLP, the deep learning toolkits for computer...
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04/26/2019
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources
With an increasing demand for training powers for deep learning algorith...
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04/16/2019
Just-in-Time Dynamic-Batching
Batching is an essential technique to improve computation efficiency in ...
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02/11/2019
Bag of Freebies for Training Object Detection Neural Networks
Comparing with enormous research achievements targeting better image cla...
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12/04/2018
Bag of Tricks for Image Classification with Convolutional Neural Networks
Much of the recent progress made in image classification research can be...
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04/25/2018
Progressive Neural Networks for Image Classification
The inference structures and computational complexity of existing deep n...
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02/20/2018
KASR: A Reliable and Practical Approach to Attack Surface Reduction of Commodity OS Kernels
Commodity OS kernels have broad attack surfaces due to the large code ba...
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02/20/2018
A Reliable and Practical Approach to Kernel Attack Surface Reduction of Commodity OS
Commodity OS kernels are known to have broad attack surfaces due to the ...
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02/20/2018
Still Hammerable and Exploitable: on the Effectiveness of Software-only Physical Kernel Isolation
All the state-of-the-art rowhammer attacks can break the MMU-enforced in...
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10/26/2017
Knowledge Projection for Deep Neural Networks
While deeper and wider neural networks are actively pushing the performa...
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05/05/2017