We stand with Ukraine

We stand with Ukraine

Peng Tang

Orcid: 0000-0003-1304-8401

Affiliations:

Shanghai Jiao Tong University, School of Cyber Science and Engineering, China (PhD 2022)

According to our database¹, Peng Tang authored at least 74 papers between 2015 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Efficient Updatable PSI From Asymmetric PSI and PSU.

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IEEE Trans. Inf. Forensics Secur., 2026

The Devil Within, The Cure Without: Securing Locally Private Graph Learning under Poisoning.

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Proceedings of the ACM Web Conference 2026, 2026

Faster Than Ever: A New Lightweight Private Set Intersection and Its Variants.

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Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols.

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Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

FedTopo: Topology-Informed Representation Alignment in Federated Learning Under Non-I.I.D. Conditions.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols.

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CoRR, June, 2025

Safe Driving Adversarial Trajectory Can Mislead: Toward More Stealthy Adversarial Attack Against Autonomous Driving Prediction Module.

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ACM Trans. Priv. Secur., May, 2025

Using LLMs for Automated Privacy Policy Analysis: Prompt Engineering, Fine-Tuning and Explainability.

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CoRR, March, 2025

More Efficient, Privacy-Enhanced, and Powerful Privacy-Preserving Feature Retrieval Private Set Intersection.

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IEEE Trans. Inf. Forensics Secur., 2025

SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking.

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IEEE Trans. Dependable Secur. Comput., 2025

FLAD: Byzantine-Robust Federated Learning Based on Gradient Feature Anomaly Detection.

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IEEE Trans. Dependable Secur. Comput., 2025

Privacy-Preserving Authorized Set Matching via Dishonest Majority Multiparty Computation.

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IEEE Trans. Dependable Secur. Comput., 2025

Ultra-Fast Private Set Intersection From Efficient Oblivious Key-Value Stores.

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IEEE Trans. Dependable Secur. Comput., 2025

Everyone's Privacy Matters! An Analysis of Privacy Leakage from Real-World Facial Images on Twitter and Associated User Behaviors.

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Nadin Kökciyan

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Proc. ACM Hum. Comput. Interact., 2025

Mitigating privacy risks in Retrieval-Augmented Generation via locally private entity perturbation.

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Inf. Process. Manag., 2025

PFGRS: A Privacy-preserving Subgraph-level Federated Graph learning for Recommender System.

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Expert Syst. Appl., 2025

Multidimensional categorical data collection under shuffled differential privacy.

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Comput. Secur., 2025

FLDS: differentially private federated learning with double shufflers.

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Comput. J., 2025

Fed-SHA: An Efficient Hyperparameter Optimization Approach for Federated Learning.

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Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

FedDEAP: Adaptive Dual-Prompt Tuning for Multi-Domain Federated Learning.

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Jagath C. Rajapakse

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Going Deeper into Locally Differentially Private Graph Neural Networks.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

Collaborative Personalized Federated Learning via Exponential Moving Average Optimization.

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Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Query Rewriting-Based View Generation for Efficient Multi-Relation Multi-Query with Differential Privacy.

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Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

Poisoning Attacks to Local Differential Privacy for Ranking Estimation.

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Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

PriTree: Accurate Range Queries via Hierarchical Prefix-Sum Under Local Differential Privacy.

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Proceedings of the Web and Big Data - 9th International Joint Conference, 2025

2024

Locally differentially private frequency distribution estimation with relative error optimization.

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Frontiers Comput. Sci., October, 2024

P²FRPSI: Privacy-Preserving Feature Retrieved Private Set Intersection.

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IEEE Trans. Inf. Forensics Secur., 2024

Subgraph-level federated graph neural network for privacy-preserving recommendation with meta-learning.

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Neural Networks, 2024

Low-Communication Updatable PSI from Asymmetric PSI and PSU.

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IACR Cryptol. ePrint Arch., 2024

Enforcing group fairness in privacy-preserving Federated Learning.

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Future Gener. Comput. Syst., 2024

A Comprehensive Study on GDPR-Oriented Analysis of Privacy Policies: Taxonomy, Corpus and GDPR Concept Classifiers.

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CoRR, 2024

Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency.

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CoRR, 2024

Interactive Verifiable Local Differential Privacy Protocols for Mean Estimation.

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Proceedings of the 23rd IEEE International Conference on Trust, 2024

Multi-Dimensional Data Collection Under Personalized Local Differential Privacy.

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Proceedings of the 23rd IEEE International Conference on Trust, 2024

FLKT: Improving the Fidelity and Robustness of Federated Learning Aggregation Rules via the Key-Data and Trap-Model.

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Proceedings of the Security and Privacy in Communication Networks, 2024

Fine-Grained Contrastive Learning for Pulmonary Nodule Classification.

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Proceedings of the International Joint Conference on Neural Networks, 2024

Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains.

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Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation.

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Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

PFDF: Privacy Preserving Federated Decision Forest for Classification.

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Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

DPC: Filtering Out Patch-Based Poisoned Samples with Differential Privacy.

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Proceedings of the Computer Security - ESORICS 2024, 2024

Federated Semi-supervised Learning for Medical Image Segmentation with Intra-client and Inter-client Consistency.

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Jagath C. Rajapakse

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Fuzzy Clustered Federated Learning Under Mixed Data Distributions.

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Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

PassTSL: Modeling Human-Created Passwords Through Two-Stage Learning.

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Proceedings of the Information Security and Privacy - 29th Australasian Conference, 2024

2023

Multi-Party Sequential Data Publishing Under Differential Privacy.

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IEEE Trans. Knowl. Data Eng., September, 2023

Correction of whitespace and word segmentation in noisy Pashto text using CRF.

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Speech Commun., September, 2023

Solving Small Exponential ECDLP in EC-Based Additively Homomorphic Encryption and Applications.

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IEEE Trans. Inf. Forensics Secur., 2023

Pashto offensive language detection: a benchmark dataset and monolingual Pashto BERT.

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PeerJ Comput. Sci., 2023

Feature Norm Regularized Federated Learning: Transforming Skewed Distributions into Global Insights.

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CoRR, 2023

RNN-Guard: Certified Robustness Against Multi-frame Attacks for Recurrent Neural Networks.

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CoRR, 2023

PrivNUD: Effective Range Query Processing under Local Differential Privacy.

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Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Multi-Dimensional Data Publishing With Local Differential Privacy.

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Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

A Novel Deep Learning Framework for Interpretable Drug-Target Interaction Prediction with Attention and Multi-task Mechanism.

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Proceedings of the Database Systems for Advanced Applications, 2023

Automatic Search of Linear Structure: Applications to Keccak and Ascon.

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Proceedings of the Information Security and Cryptology - 19th International Conference, 2023

2022

Efficient, Revocable, and Privacy-Preserving Fine-Grained Data Sharing With Keyword Search for the Cloud-Assisted Medical IoT System.

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IEEE J. Biomed. Health Informatics, 2022

Collecting and analyzing key-value data under shuffled differential privacy.

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Frontiers Comput. Sci., 2022

Marginal Release Under Multi-party Personalized Differential Privacy.

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Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

FuzzGAN: A Generation-Based Fuzzing Framework for Testing Deep Neural Networks.

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Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

Differentially Private Publication of Vertically Partitioned Data.

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IEEE Trans. Dependable Secur. Comput., 2021

TranFuzz: An Ensemble Black-Box Attack Framework Based on Domain Adaptation and Fuzzing.

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Proceedings of the Information and Communications Security - 23rd International Conference, 2021

Differentially Private Publication of Multi-Party Sequential Data.

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Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Multi-Party High-Dimensional Data Publishing Under Differential Privacy.

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IEEE Trans. Knowl. Data Eng., 2020

Efficient and secure k-nearest neighbor query on outsourced data.

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Peer-to-Peer Netw. Appl., 2020

Detection of SQL injection based on artificial neural network.

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Knowl. Based Syst., 2020

Anomaly detection in electronic invoice systems based on machine learning.

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Inf. Sci., 2020

Privacy-preserving spatial query protocol based on the Moore curve for location-based service.

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Comput. Secur., 2020

Effectiveness Analysis of Traditional Chinese Medicine for Anti-Alzheimer's Disease Based on Machine Learning.

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Proceedings of the Security and Privacy in Social Networks and Big Data, 2020

2019

Association Analysis of Abnormal Behavior of Electronic Invoice Based on K-Means and Skip-Gram.

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Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

Privacy-Preserving Location-Based Query Over Encrypted Data in Outsourced Environment.

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Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

Research on Abnormal Behavior of Electronic Invoice Based on Artificial Neural Network.

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Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

2018

SQL Injection Behavior Mining Based Deep Learning.

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Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2016

Differentially private multi-party high-dimensional data publishing.

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Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015

Differentially private maximal frequent sequence mining.

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Comput. Secur., 2015

Authentication of Top-k Spatial Keyword Queries in Outsourced Databases.

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Proceedings of the Database Systems for Advanced Applications, 2015

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