Search Results for author:
Found 7 papers, 3 papers with code
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence
In the convergence, edge server is used for both storing IoT produced bioimage and hosting DNN algorithm for local model training.
Blockchain-based Access Control for Secure Smart Industry Management Systems
The role-based access control is developed to determine users' roles and rights in smart contracts.
Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things
In FL, local models can be tampered with by attackers.
Transformers for End-to-End InfoSec Tasks: A Feasibility Study
We implement transformer models for two distinct InfoSec data formats - specifically URLs and PE files - in a novel end-to-end approach, and explore a variety of architectural designs, training regimes, and experimental settings to determine the ingredients necessary for performant detection models.
On the Limitations of Continual Learning for Malware Classification
To our surprise, continual learning methods significantly underperformed naive Joint replay of the training data in nearly all settings -- in some cases reducing accuracy by more than 70 percentage points.
Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks
To further investigate the value of timing information, we perform an information leakage analysis on our proposed handcrafted features.
Website Fingerprinting Attacks
Cryptography and Security
Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces
Since the attacker gets to design his classifier based on the defense design, we first demonstrate that at least one technique for generating adversarial-example based traces fails to protect against an attacker using adversarial training for robust classification.
Website Fingerprinting Defense
Cryptography and Security
