Computer Science - Cryptography and Security

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Machine Learning Securing Graph Data with Federated Learning

FedGIG tackles privacy risks in graph data training.

Tianzhe Xiao, Yichen Li, Yining Qi

2025-01-28T01:35:24+00:00 ― 5 min read

Machine Learning Fighting Malware: The Role of Adversarial Training

Discover how adversarial training boosts malware detection and keeps systems safe.

Hamid Bostani, Jacopo Cortellazzi, Daniel Arp

2025-01-26T18:17:33+00:00 ― 8 min read

Cryptography and Security The Hidden Threat of Backdoor Attacks on Language Models

Discover how backdoor attacks challenge the safety of AI-driven language models.

Jingyi Zheng, Tianyi Hu, Tianshuo Cong

2025-01-26T11:04:12+00:00 ― 7 min read

Cryptography and Security The Threat of Backdoor Attacks in AI

Backdoor attacks can undermine text classification models, injecting bias and skewing results.

A. Dilara Yavuz, M. Emre Gursoy

2025-01-26T04:39:00+00:00 ― 8 min read

Cryptography and Security The Engorgio Challenge: Disrupting Language Models

Engorgio exploits language models, raising concerns about service reliability and performance.

Jianshuo Dong, Ziyuan Zhang, Qingjie Zhang

2025-01-25T00:33:45+00:00 ― 5 min read

Networking and Internet Architecture Packet Vision: Transforming Network Traffic Classification

A new method that uses images for smarter network traffic classification.

Rodrigo Moreira, Larissa Ferreira Rodrigues, Pedro Frosi Rosa

2025-01-24T22:09:18+00:00 ― 7 min read

Cryptography and Security Guardians of Digital Security: Cryptographic Libraries

Learn how cryptographic libraries protect your online data and their vulnerabilities.

Rodothea Myrsini Tsoupidi, Elena Troubitsyna, Panos Papadimitratos

2025-01-24T17:20:24+00:00 ― 6 min read

Cryptography and Security Strengthening Software Supply Chain Security with AI

Using AI language models to tackle software supply chain vulnerabilities.

Vasileios Alevizos, George A Papakostas, Akebu Simasiku

2025-01-23T22:52:57+00:00 ― 12 min read

Cryptography and Security The Crucial Role of IoCs in Cybersecurity

Learn how timely IoCs help organizations defend against cyber threats.

Angel Kodituwakku, Clark Xu, Daniel Rogers

2025-01-23T22:04:48+00:00 ― 7 min read

Machine Learning Strengthening AI Against Clever Attacks

Adversarial training improves AI's defense against deceptive attacks using the SDI measure.

Olukorede Fakorede, Modeste Atsague, Jin Tian

2025-01-22T19:09:35+00:00 ― 6 min read

Machine Learning Federated Unlearning: The Future of Data Privacy

Learn how federated unlearning can protect your data privacy.

Zibin Pan, Zhichao Wang, Chi Li

2025-01-21T13:54:18+00:00 ― 5 min read

Cryptography and Security The Growing Threat of Adversarial Attacks on Language Models

Adversarial attacks challenge the safety of large language models, risking trust and accuracy.

Atmane Ayoub Mansour Bahar, Ahmad Samer Wazan

2025-01-21T04:16:30+00:00 ― 5 min read

Distributed, Parallel, and Cluster Computing Securing Data Privacy with Federated Learning and Blockchain

A new framework combines federated learning and blockchain to enhance privacy and security.

Ervin Moore, Ahmed Imteaj, Md Zarif Hossain

2025-01-20T19:26:51+00:00 ― 7 min read

Cryptography and Security Securing the Cloud: A New Approach

Proactive strategies using AI aim to fortify cloud security against emerging threats.

Yuyang Zhou, Guang Cheng, Kang Du

2025-01-18T19:17:51+00:00 ― 7 min read

Machine Learning Fighting Hackers: The Side-Channel Attack Challenge

New strategies in machine learning improve defenses against side-channel attacks.

Tun-Chieh Lou, Chung-Che Wang, Jyh-Shing Roger Jang

2025-01-18T15:17:06+00:00 ― 5 min read

Cryptography and Security Balancing Privacy and Explainability in AI

Discover the challenge of combining privacy and explainability in high-stakes AI systems.

Supriya Manna, Niladri Sett

2025-01-17T18:25:12+00:00 ― 7 min read