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IEEE Transactions on Dependable and Secure Computing
Titel
Veröffentlichungsdatum
Sprache
Zitate
ILLATION: Improving Vulnerability Risk Prioritization By Learning From Network
2024/01/01
False Data Detector for Electrical Vehicles Temporal-Spatial Charging Coordination Secure Against Evasion and Privacy Adversarial Attacks
2024/01/01
${\sf MARS}$: Enabling Verifiable Range-Aggregate Queries in Multi-Source Environments
2024/01/01
Public Proofs of Data Replication and Retrievability with User-friendly Replication
2024/01/01
A Utility-aware Anonymization Model for Multiple Sensitive Attributes Based on Association Concealment
2024/01/01
On the Privacy of Multi-Versioned Approximate Membership Check Filters
2024/01/01
GAIT: A Game-Theoretic Defense Against Intellectual Property Theft
2024/01/01
MalAF : Malware Attack Foretelling From Run-Time Behavior Graph Sequence
2024/01/01
Efficiently Supporting Attribute-based Access Control in Linux
2024/01/01
Scalable and Popularity-Based Secure Deduplication Schemes With Fully Random Tags
2024/01/01
Mules and Permission Laundering in Android: Dissecting Custom Permissions in the Wild
2024/01/01
Balance Seed Scheduling via Monte Carlo Planning
2024/01/01
TSAPP: Threshold Single-Sign-On Authentication Preserving Privacy
2024/01/01
KerbNet: A QoE-aware Kernel-Based Backdoor Attack Framework
2024/01/01
Making DeepFakes More Spurious: Evading Deep Face Forgery Detection via Trace Removal Attack
2023/11/01
Blockchain-Based Deduplication and Integrity Auditing Over Encrypted Cloud Storage
2023/11/01
DyCause: Crowdsourcing to Diagnose Microservice Kernel Failure
2023/11/01
DivTheft: An Ensemble Model Stealing Attack by Divide-and-Conquer
2023/11/01
Multi-Modal Side Channel Data Driven Golden-Free Detection of Software and Firmware Trojans
2023/11/01
Shielding Graph for eXact Analytics With SGX
2023/11/01
Tianji: Securing a Practical Asynchronous Multi-User ORAM
2023/11/01
Heterogeneous Differential-Private Federated Learning: Trading Privacy for Utility Truthfully
2023/11/01
VerifyTL: Secure and Verifiable Collaborative Transfer Learning
2023/11/01
Detecting Adversarial Examples on Deep Neural Networks With Mutual Information Neural Estimation
2023/11/01
Weaknesses of Popular and Recent Covert Channel Detection Methods and a Remedy
2023/11/01
Towards Attack-Resistant Service Function Chain Migration: A Model-Based Adaptive Proximal Policy Optimization Approach
2023/11/01
Analyzing the Benefits of Optical Topology Programming for Mitigating Link-Flood DDoS Attacks
2024/01/01
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
2024/01/01
Delta Counter: Bandwidth-Efficient Encryption Counter Representation for Secure GPU Memory
2024/01/01
PUF-Based Authentication-Oriented Architecture for Identification Tags
2024/01/01
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