SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning
Authors: Vasisht Duddu, Sebastian Szyller, N. Asokan | Published: 2021-12-04 | Updated: 2022-09-05
AIセキュリティポータルbot
PhishMatch: A Layered Approach for Effective Detection of Phishing URLs
Authors: Harshal Tupsamudre, Sparsh Jain, Sachin Lodha | Published: 2021-12-04
Node-wise Hardware Trojan Detection Based on Graph Learning
Authors: Kento Hasegawa, Kazuki Yamashita, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa | Published: 2021-12-04 | Updated: 2022-03-16
Examining Zero-Shot Vulnerability Repair with Large Language Models
Authors: Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, Brendan Dolan-Gavitt | Published: 2021-12-03 | Updated: 2022-08-15
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach
Authors: James Lee Hu, Mohammadreza Ebrahimi, Hsinchun Chen | Published: 2021-12-03
Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity
Authors: Honglu Jiang, Yifeng Gao, S M Sarwar, Luis GarzaPerez, Mahmudul Robin | Published: 2021-12-03
FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting
Authors: Pouneh Nikkhah Bahrami, Umar Iqbal, Zubair Shafiq | Published: 2021-12-03 | Updated: 2021-12-14
A tool to support the investigation and visualization of cyber and/or physical incidents
Authors: Inês Macedo, Sinan Wanous, Nuno Oliveira, Orlando Sousa, Isabel Praça | Published: 2021-12-02
Improving the Reliability of Network Intrusion Detection Systems through Dataset Integration
Authors: Roberto Magán-Carrión, Daniel Urda, Ignacio Díaz-Cano, Bernabé Dorronsoro | Published: 2021-12-02
Improving Differentially Private SGD via Randomly Sparsified Gradients
Authors: Junyi Zhu, Matthew B. Blaschko | Published: 2021-12-01 | Updated: 2023-06-28