Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models
Authors: Dominik Hintersdorf, Lukas Struppek, Kristian Kersting | Published: 2023-08-18
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A Graph-based Stratified Sampling Methodology for the Analysis of (Underground) Forums
Authors: Giorgio Di Tizio, Gilberto Atondo Siu, Alice Hutchings, Fabio Massacci | Published: 2023-08-18
Artificial Intelligence for Web 3.0: A Comprehensive Survey
Authors: Meng Shen, Zhehui Tan, Dusit Niyato, Yuzhi Liu, Jiawen Kang, Zehui Xiong, Liehuang Zhu, Wei Wang, Xuemin, Shen | Published: 2023-08-17
An Effective Deep Learning Based Multi-Class Classification of DoS and DDoS Attack Detection
Authors: Arun Kumar Silivery, Kovvur Ram Mohan Rao, L K Suresh Kumar | Published: 2023-08-17
Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service
Authors: Jaewoo Park, Chenghao Quan, Hyungon Moon, Jongeun Lee | Published: 2023-08-17
Test-Time Poisoning Attacks Against Test-Time Adaptation Models
Authors: Tianshuo Cong, Xinlei He, Yun Shen, Yang Zhang | Published: 2023-08-16
Time Travel in LLMs: Tracing Data Contamination in Large Language Models
Authors: Shahriar Golchin, Mihai Surdeanu | Published: 2023-08-16 | Updated: 2024-02-21
Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model
Authors: Ran Jiang, Sanfeng Zhang, Linfeng Liu, Yanbing Peng | Published: 2023-08-16
Robustness Over Time: Understanding Adversarial Examples’ Effectiveness on Longitudinal Versions of Large Language Models
Authors: Yugeng Liu, Tianshuo Cong, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang | Published: 2023-08-15 | Updated: 2024-05-06
A Review of Adversarial Attacks in Computer Vision
Authors: Yutong Zhang, Yao Li, Yin Li, Zhichang Guo | Published: 2023-08-15