ACM Transactions on Privacy and Security

Papers
(The H4-Index of ACM Transactions on Privacy and Security is 19. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Secure and Reliable Network Updates45
Security Implications of the Morello Platform: An Empirical Threat Model-Based Analysis43
Privacy-Preserving Training of Support Vector Machines via Secure Multiparty Computation41
Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation39
TLS-MHSA: An Efficient Detection Model for Encrypted Malicious Traffic based on Multi-Head Self-Attention Mechanism38
Site Inspector: Improving Browser Communication of Website Security Information35
Dimensional Robustness Certification for Deep Neural Networks in Network Intrusion Detection Systems31
A Secret Sharing-Inspired Robust Distributed Backdoor Attack to Federated Learning30
Binsec/Rel: Symbolic Binary Analyzer for Security with Applications to Constant-Time and Secret-Erasure29
Bi-objective Optimization in Role Mining28
CBAs: Character-level Backdoor Attacks against Chinese Pre-trained Language Models27
symbSODA: Configurable and Verifiable Orchestration Automation for Active Malware Deception26
Information Leakage Games: Exploring Information as a Utility Function25
SPArch: A Hardware-oriented Sketch-based Architecture for High-speed Network Flow Measurements24
Spoofing Against Spoofing: Toward Caller ID Verification in Heterogeneous Telecommunication Systems23
Differentially Private Real-Time Release of Sequential Data23
A Decentralized Private Data Marketplace using Blockchain and Secure Multi-Party Computation20
PredicTor: A Global, Machine Learning Approach to Tor Path Selection20
An Experimental Assessment of Inconsistencies in Memory Forensics19
VFLGAN-TS: Vertical Federated Learning-based Generative Adversarial Networks for Publication of Vertically Partitioned Time-series Data19
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