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Found 6 papers, 2 papers with code
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet
Our results show that the quality and diversity of the generated images can degrade over time suggesting that incorporating AI-created data can have undesired effects on future versions of generative models.
Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation?
Therefore, future versions of generative AI tools will be trained with Internet data that is a mix of original and AI-generated data.
Black-Box Audits for Group Distribution Shifts
Our experimental results on real-world datasets show that this approach is effective, achieving 80--100% AUC-ROC in detecting shifts involving the underrepresentation of a demographic group in the training set.
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning
As in traditional machine learning models, models trained with federated learning may exhibit disparate performance across demographic groups.
Encrypted DNS --> Privacy? A Traffic Analysis Perspective
Virtually every connection to an Internet service is preceded by a DNS lookup which is performed without any traffic-level protection, thus enabling manipulation, redirection, surveillance, and censorship.
Cryptography and Security
Automated Website Fingerprinting through Deep Learning
In our open world evaluation, the most performant deep learning model is 2% more accurate than the state-of-the-art attack.
