Tian Dong

According to our database1, Tian Dong authored at least 27 papers between 2010 and 2023.

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Bibliography

2023
An Explainability-Guided Testing Framework for Robustness of Malware Detectors.
Dataset, August, 2023

An Explainability-Guided Testing Framework for Robustness of Malware Detectors.
Dataset, August, 2023

On the linearization methods for univariate Birkhoff rational interpolation.
Appl. Math. Comput., May, 2023

Virsearcher: Identifying Bacteriophages from Metagenomes by Combining Convolutional Neural Network and Gene Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Unleashing Cheapfakes through Trojan Plugins of Large Language Models.
CoRR, 2023

Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

RAI2: Responsible Identity Audit Governing the Artificial Intelligence.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing.
Proceedings of the IEEE INFOCOM 2023, 2023

Privacy Computing with Right to Be Forgotten in Trusted Execution Environment.
Proceedings of the IEEE Global Communications Conference, 2023

A 3.5MHz-BW 128nTrms Resolution TMR Readout Using Ping-Pong Auto-Zeroing and SAR-Assisted Offset Calibration for Contactless Current Sensing.
Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

2022
Backdoors Against Natural Language Processing: A Review.
IEEE Secur. Priv., 2022

An Interpretable Federated Learning-based Network Intrusion Detection Framework.
CoRR, 2022

Privacy for Free: How does Dataset Condensation Help Privacy?
Proceedings of the International Conference on Machine Learning, 2022

2021
Adversarial Attacks Against Network Intrusion Detection in IoT Systems.
IEEE Internet Things J., 2021

Exposing Weaknesses of Malware Detectors with Explainability-Guided Evasion Attacks.
CoRR, 2021

Fingerprinting Multi-exit Deep Neural Network Models via Inference Time.
CoRR, 2021

A Hybrid Short-Term Load Forecasting Model Based on Improved Fuzzy C-Means Clustering, Random Forest and Deep Neural Networks.
IEEE Access, 2021

Towards Fast Network Intrusion Detection based on Efficiency-preserving Federated Learning.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Hidden Backdoors in Human-Centric Language Models.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
Adaptive Quaternion Tracking with Nonlinear Disturbance Rejection.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

2019
Towards Generation and Evaluation of Comprehensive Mapping Robot Datasets.
CoRR, 2019

2018
Error Formulas for Lagrange Projectors Determined by Cartesian Sets.
J. Syst. Sci. Complex., 2018

2016
A two-dimensional improvement for Farr-Gao algorithm.
J. Syst. Sci. Complex., 2016

2013
Photocatalytic digestion of total phosphorus in the presence of H2O2 utilizing nano-TiO2 photocatalyst.
Proceedings of the 8th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2013

2011
On the existence of certain error formulas for a special class of ideal projectors.
J. Approx. Theory, 2011

2010
A bivariate preprocessing paradigm for the Buchberger-Möller algorithm.
J. Comput. Appl. Math., 2010

A research on evaluation of written productive vocabulary based on Sugeno measure.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010


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