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08/14/2023
Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Optimization for Few-shot Learning
Prompt-based pre-trained language models (PLMs) paradigm have succeeded ...
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08/03/2023
Hard Adversarial Example Mining for Improving Robust Fairness
Adversarial training (AT) is widely considered the state-of-the-art tech...
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06/22/2023
Machine-Learning-Assisted and Real-Time-Feedback-Controlled Growth of InAs/GaAs Quantum Dots
Self-assembled InAs/GaAs quantum dots (QDs) have properties highly valua...
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05/10/2023
Quantization Aware Attack: Enhancing the Transferability of Adversarial Attacks across Target Models with Different Quantization Bitwidths
Quantized Neural Networks (QNNs) receive increasing attention in resourc...
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05/04/2023
IMAP: Intrinsically Motivated Adversarial Policy
Reinforcement learning (RL) agents are known to be vulnerable to evasion...
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04/09/2023
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training Refinement
Due to the model aging problem, Deep Neural Networks (DNNs) need updates...
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03/07/2023
End-to-end Face-swapping via Adaptive Latent Representation Learning
Taking full advantage of the excellent performance of StyleGAN, style tr...
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12/20/2022
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning
Machine-Generated Text (MGT) detection, a task that discriminates MGT fr...
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12/07/2022
Artificial Intelligence Security Competition (AISC)
The security of artificial intelligence (AI) is an important research ar...
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08/11/2022
Covert Beamforming Design for Integrated Radar Sensing and Communication Systems
We propose covert beamforming design frameworks for integrated radar sen...
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07/11/2022
Robust Beamforming Design for IRS-Aided URLLC in D2D Networks
Intelligent reflecting surface (IRS) and device-to-device (D2D) communic...
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06/25/2022
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
Backdoor learning is an emerging and important topic of studying the vul...
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04/06/2022
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons
With Deep Neural Network (DNN) being integrated into a growing number of...
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03/25/2022
WaveFuzz: A Clean-Label Poisoning Attack to Protect Your Voice
People are not always receptive to their voice data being collected and ...
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03/23/2022
Block-Level Interference Exploitation Precoding without Symbol-by-Symbol Optimization
Symbol-level precoding (SLP) based on the concept of constructive interf...
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03/04/2022
Towards Benchmarking and Evaluating Deepfake Detection
Deepfake detection automatically recognizes the manipulated medias throu...
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02/20/2022
Practical Interference Exploitation Precoding without Symbol-by-Symbol Optimization: A Block-Level Approach
In this paper, we propose a constructive interference (CI)-based block-l...
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11/26/2021
RIS-aided D2D Communication Design for URLLC Packet Delivery
In this paper, we consider a smart factory scenario where a set of actua...
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10/19/2021
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information
Adversarial attacks against commercial black-box speech platforms, inclu...
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09/01/2021
Covert Beamforming Design for Intelligent Reflecting Surface Assisted IoT Networks
In this paper, we consider covert beamforming design for intelligent ref...
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08/31/2021
Robust Symbol-Level Precoding and Passive Beamforming for IRS-Aided Communications
This paper investigates a joint beamforming design in a multiuser multip...
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06/23/2021
Teacher Model Fingerprinting Attacks Against Transfer Learning
Transfer learning has become a common solution to address training data ...
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06/15/2021
Securing Face Liveness Detection Using Unforgeable Lip Motion Patterns
Face authentication usually utilizes deep learning models to verify user...
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06/12/2021
CARTL: Cooperative Adversarially-Robust Transfer Learning
Transfer learning eases the burden of training a well-performed model fr...
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06/04/2021
Relay Selection and Resource Allocation for Ultra-Reliable Uplink Transmission in Smart Factory Scenarios
In this paper, a relay-aided two-phase transmission protocol for the sma...
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06/04/2021
Robust Resource Allocation for Multi-Antenna URLLC-OFDMA Systems in a Smart Factory
In this paper, we investigate the worst-case robust beamforming design a...
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12/30/2020
Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder
Facing the sparsity of user attributes on social networks, attribute inf...
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12/03/2020
A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning
Knowledge graph (KG), as the side information, is widely utilized to lea...
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11/12/2020
A Fast and Scalable Authentication Scheme in IoT for Smart Living
Numerous resource-limited smart objects (SOs) such as sensors and actuat...
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09/11/2020
Optimal Resource Allocation for Delay Minimization in NOMA-MEC Networks
Multi-access edge computing (MEC) can enhance the computing capability o...
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06/26/2020
A Unified Framework for Analyzing and Detecting Malicious Examples of DNN Models
Deep Neural Networks are well known to be vulnerable to adversarial atta...
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06/25/2020
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings
In commercial buildings, about 40 is attributed to Heating, Ventilation,...
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03/13/2020
Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach
Semi-supervised graph embedding methods represented by graph convolution...
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02/09/2020
Robust URLLC Packet Scheduling of OFDM Systems
In this paper, we consider the power minimization problem of joint physi...
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01/03/2020
Scalability and robustness of spectral embedding: landmark diffusion is all you need
While spectral embedding is a widely applied dimension reduction techniq...
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11/04/2019
HARQ-CC Enabled NOMA Designs With Outage Probability Constraints
In this paper, we aim to design an adaptive power allocation scheme to m...
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10/29/2019
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection
Collaborative learning allows multiple clients to train a joint model wi...
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10/22/2019
Adversarial Example Detection by Classification for Deep Speech Recognition
Machine Learning systems are vulnerable to adversarial attacks and will ...
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09/16/2019
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service
Machine Learning as a Service (MLaaS) allows clients with limited resour...
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04/28/2019
Optimal Task Assignment and Power Allocation for NOMA Mobile-Edge Computing Networks
Mobile edge computing (MEC) can enhance the computing capability of mobi...
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03/18/2019
Robust Trajectory and Resource Allocation Design for Secure UAV-aided Communications
This paper aims to enhance the physical layer security against potential...
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11/01/2018
Deep Learning Based Gait Recognition Using Smartphones in the Wild
Comparing with other biometrics, gait has advantages of being unobtrusiv...
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06/24/2018
On Energy-Efficient NOMA Designs for Heterogeneous Low-Latency Downlink Transmissions
This paper investigates energy-efficient resource allocation for the two...
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06/11/2018
Joint Beamforming and Power Allocation in Downlink NOMA Multiuser MIMO Networks
In this paper, a novel joint design of beamforming and power allocation ...
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04/09/2018
Connecting Dots -- from Local Covariance to Empirical Intrinsic Geometry and Locally Linear Embedding
Local covariance structure under the manifold setup has been widely appl...
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03/20/2018
Max-Min Fairness User Scheduling and Power Allocation in Full-Duplex OFDMA Systems
In a full-duplex (FD) multi-user network, the system performance is not ...
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01/09/2018
Aviation Time Minimization of UAV for Data Collection over Wireless Sensor Networks
In this paper, we consider a scenario where an unmanned aerial vehicle (...
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12/13/2017
Energy-Efficient Non-Orthogonal Transmission under Reliability and Finite Blocklength Constraints
This paper investigates an energy-efficient non-orthogonal transmission ...
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10/22/2017