Hao Ren

Orcid: 0000-0001-7909-3753

Affiliations:
  • University of Electronic Science and Technology of China, School of Computer Science and Engineering, Guangdong, China


According to our database1, Hao Ren authored at least 38 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 csauthors.net:

Bibliography

2026
Large language models for spreading dynamics in complex systems.
CoRR, February, 2026

KryptoPilot: An Open-World Knowledge-Augmented LLM Agent for Automated Cryptographic Exploitation.
CoRR, January, 2026

Sanitizer: Blazing-Fast, Private, and Robust Federated Learning.
IEEE Trans. Inf. Forensics Secur., 2026

${\mathsf{KubeSec}} $KubeSec: Automatic Detection of Takeover Risks Introduced by Third-Party Apps in the Kubernetes Ecosystem.
IEEE Trans. Dependable Secur. Comput., 2026

CLAD: Robust audio deepfake detection against manipulation attacks with contrastive learning.
Knowl. Based Syst., 2026

EvoJail: Evolutionary diverse jailbreak prompt generation for large language models.
Inf. Process. Manag., 2026

Concretely Efficient Correlated Oblivious Permutation.
Proceedings of the ACM Asia Conference on Computer and Communications Security, 2026

2025
Unmasking the Internet: A Survey of Fine-Grained Network Traffic Analysis.
IEEE Commun. Surv. Tutorials, December, 2025

VBSF: Vulnerability Behavior Scanning Framework for Intelligent Autonomous Transport Systems.
IEEE Trans. Intell. Transp. Syst., October, 2025

CryptoScope: Utilizing Large Language Models for Automated Cryptographic Logic Vulnerability Detection.
CoRR, August, 2025

Decomposition, Synthesis, and Attack: A Multi-Instruction Fusion Method for Jailbreaking LLMs.
IEEE Internet Things J., April, 2025

Efficient privacy-preserving federated logistic regression with poor-quality users.
Peer Peer Netw. Appl., February, 2025

Gupacker: Generalized Unpacking Framework for Android Malware.
IEEE Trans. Inf. Forensics Secur., 2025

Efficiency Boosting of Secure Cross-Platform Recommender Systems Over Sparse Data.
IEEE Trans. Dependable Secur. Comput., 2025

Rethinking the Design of Backdoor Triggers and Adversarial Perturbations: A Color Space Perspective.
IEEE Trans. Dependable Secur. Comput., 2025

An efficient and commercial proof of storage scheme supporting dynamic data updates.
Comput. Secur., 2025

VuldiffFinder: Discovering inconsistencies in unstructured vulnerability information.
Comput. Secur., 2025

BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

PPNA: Enabling Privacy-Preserving and Efficient Social Network Alignment.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Rethinking Membership Inference Attacks Against Transfer Learning.
IEEE Trans. Inf. Forensics Secur., 2024

FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices.
Proceedings of the ACM on Web Conference 2024, 2024

2023
Efficient Homomorphic Convolution for Secure Deep Learning Inference.
Proceedings of the 20th Annual International Conference on Privacy, Security and Trust, 2023

PriFR: Privacy-preserving Large-scale File Retrieval System via Blockchain for Encrypted Cloud Data.
Proceedings of the 9th Intl Conference on Big Data Security on Cloud, 2023

2022
DNA Similarity Search With Access Control Over Encrypted Cloud Data.
IEEE Trans. Cloud Comput., 2022

Enabling Secure and Versatile Packet Inspection With Probable Cause Privacy for Outsourced Middlebox.
IEEE Trans. Cloud Comput., 2022

Privacy-Preserving Efficient Verifiable Deep Packet Inspection for Cloud-Assisted Middlebox.
IEEE Trans. Cloud Comput., 2022

2020
Catch You If You Deceive Me: Verifiable and Privacy-Aware Truth Discovery in Crowdsensing Systems.
Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

Secure and Verifiable Inference in Deep Neural Networks.
Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019
Data Security Issues in Deep Learning: Attacks, Countermeasures, and Opportunities.
IEEE Commun. Mag., 2019

Toward Efficient and Secure Deep Packet Inspection for Outsourced Middlebox.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Querying in Internet of Things with Privacy Preserving: Challenges, Solutions and Opportunities.
IEEE Netw., 2018

Privacy-enhanced Deep Packet Inspection at Outsourced Middlebox.
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

2016
Privacy-Enhanced and Multifunctional Health Data Aggregation under Differential Privacy Guarantees.
Sensors, 2016

Efficient privacy-preserving circular range search on outsourced spatial data.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Towards Efficient Privacy-Preserving Truth Discovery in Crowd Sensing Systems.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
Enabling efficient publicly verifiable outsourcing computation for matrix multiplication.
Proceedings of the International Telecommunication Networks and Applications Conference, 2015

Diverse multi-keyword ranked search over encrypted cloud data supporting range query.
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015


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