Lan Zhang | DeepAI

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Dacheng Tao
495 publications
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150 publications
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107 publications
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102 publications
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70 publications
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58 publications
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58 publications
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Xiaolin Li
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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...

0 Zhilong Wang, et al. ∙

∙ 07/20/2023

PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks

Collaborative inference has been a promising solution to enable resource...

0 Shiwei Ding, et al. ∙

∙ 07/10/2023

Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning

Federated continual learning (FCL) learns incremental tasks over time fr...

0 Gaurav Bagwe, et al. ∙

∙ 06/13/2023

Tight Memory-Regret Lower Bounds for Streaming Bandits

In this paper, we investigate the streaming bandits problem, wherein the...

0 Shaoang Li, et al. ∙

∙ 05/18/2023

TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism

In modern distributed computing applications, such as federated learning...

0 Jiandong Liu, et al. ∙

∙ 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 ...

1 Lan Zhang, et al. ∙

∙ 12/05/2022

FedTiny: Pruned Federated Learning Towards Specialized Tiny Models

Neural network pruning has been a well-established compression technique...

0 Hong Huang, et al. ∙

∙ 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...

0 Mu Yuan, et al. ∙

∙ 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...

0 Mu Yuan, et al. ∙

∙ 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...

0 Wei Zhou, et al. ∙

∙ 07/21/2022

Federated Semi-Supervised Domain Adaptation via Knowledge Transfer

Given the rapidly changing machine learning environments and expensive d...

0 Madhureeta Das, et al. ∙

∙ 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...

0 Gaurav Bagwe, et al. ∙

∙ 06/25/2022

Topology-aware Generalization of Decentralized SGD

This paper studies the algorithmic stability and generalizability of dec...

0 Tongtian Zhu, et al. ∙

∙ 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...

0 Saket S. Chaturvedi, et al. ∙

∙ 02/07/2022

Membership Inference Attacks and Defenses in Neural Network Pruning

Neural network pruning has been an essential technique to reduce the com...

0 Xiaoyong Yuan, et al. ∙

∙ 10/14/2021

The Neglected Sibling: Isotropic Gaussian Posterior for VAE

Deep generative models have been widely used in several areas of NLP, an...

0 Lan Zhang, et al. ∙

∙ 09/08/2021

FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning

Federated learning enables distributed devices to collaboratively learn ...

0 Lan Zhang, et al. ∙

∙ 08/30/2021

Adaptive perturbation adversarial training: based on reinforcement learning

Adversarial training has become the primary method to defend against adv...

0 Zhishen Nie, et al. ∙

∙ 06/18/2021

A Vertical Federated Learning Framework for Horizontally Partitioned Labels

Vertical federated learning is a collaborative machine learning framewor...

0 Wensheng Xia, et al. ∙

∙ 06/07/2021

Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets

To highlight the challenges of achieving representation disentanglement ...

0 Lan Zhang, et al. ∙

∙ 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...

0 Xiaoyong Yuan, et al. ∙

∙ 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...

6 Lan Zhang, et al. ∙

∙ 02/22/2020

A Novel Decision Tree for Depression Recognition in Speech

Depression is a common mental disorder worldwide which causes a range of...

0 Zhenyu Liu, et al. ∙

∙ 12/31/2019

Logic Bugs in IoT Platforms and Systems: A Review

In recent years, IoT platforms and systems have been rapidly emerging. A...

0 Wei Zhou, et al. ∙

∙ 12/12/2019

Using Deep Learning to Solve Computer Security Challenges: A Survey

Although using machine learning techniques to solve computer security ch...

0 Yoon Ho Choi, et al. ∙

∙ 03/23/2019

Volatility and intensity

When studying models and estimators in the setting of high-frequency dat...

0 Emil A. Stoltenberg, et al. ∙

∙ 04/03/2014

A Resolution Prover for Coalition Logic

We present a prototype tool for automated reasoning for Coalition Logic,...

0 Cláudia Nalon, et al. ∙

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