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07/24/2023
ChatGPT for Software Security: Exploring the Strengths and Limitations of ChatGPT in the Security Applications
ChatGPT, as a versatile large language model, has demonstrated remarkabl...
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07/20/2023
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks
Collaborative inference has been a promising solution to enable resource...
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07/10/2023
Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning
Federated continual learning (FCL) learns incremental tasks over time fr...
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06/13/2023
Tight Memory-Regret Lower Bounds for Streaming Bandits
In this paper, we investigate the streaming bandits problem, wherein the...
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05/18/2023
TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism
In modern distributed computing applications, such as federated learning...
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01/20/2023
Which Features are Learned by CodeBert: An Empirical Study of the BERT-based Source Code Representation Learning
The Bidirectional Encoder Representations from Transformers (BERT) were ...
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12/05/2022
FedTiny: Pruned Federated Learning Towards Specialized Tiny Models
Neural network pruning has been a well-established compression technique...
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09/28/2022
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
The cost efficiency of model inference is critical to real-world machine...
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09/28/2022
InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference
Mobile-centric AI applications have high requirements for resource-effic...
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08/16/2022
What Your Firmware Tells You Is Not How You Should Emulate It: A Specification-Guided Approach for Firmware Emulation
Emulating firmware of microcontrollers is challenging due to the lack of...
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07/21/2022
Federated Semi-Supervised Domain Adaptation via Knowledge Transfer
Given the rapidly changing machine learning environments and expensive d...
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07/21/2022
Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning
Despite the success of AI-enabled onboard perception, on-ramp merging ha...
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06/25/2022
Topology-aware Generalization of Decentralized SGD
This paper studies the algorithmic stability and generalizability of dec...
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04/22/2022
Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection
Despite the recent advances of deep neural networks, object detection fo...
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02/07/2022
Membership Inference Attacks and Defenses in Neural Network Pruning
Neural network pruning has been an essential technique to reduce the com...
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10/14/2021
The Neglected Sibling: Isotropic Gaussian Posterior for VAE
Deep generative models have been widely used in several areas of NLP, an...
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09/08/2021
FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning
Federated learning enables distributed devices to collaboratively learn ...
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08/30/2021
Adaptive perturbation adversarial training: based on reinforcement learning
Adversarial training has become the primary method to defend against adv...
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06/18/2021
A Vertical Federated Learning Framework for Horizontally Partitioned Labels
Vertical federated learning is a collaborative machine learning framewor...
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06/07/2021
Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets
To highlight the challenges of achieving representation disentanglement ...
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09/21/2020
ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles
Deep neural networks (DNNs) have become the essential components for var...
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09/11/2020
Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection
To address the costs of reverse engineering and signature extraction, ad...
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02/22/2020
A Novel Decision Tree for Depression Recognition in Speech
Depression is a common mental disorder worldwide which causes a range of...
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12/31/2019
Logic Bugs in IoT Platforms and Systems: A Review
In recent years, IoT platforms and systems have been rapidly emerging. A...
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12/12/2019
Using Deep Learning to Solve Computer Security Challenges: A Survey
Although using machine learning techniques to solve computer security ch...
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03/23/2019
Volatility and intensity
When studying models and estimators in the setting of high-frequency dat...
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04/03/2014