Metaverse describes a new shape of cyberspace and has become a hot-trending word since
2021. There are many explanations about what Meterverse is and attempts to provide a …

The prosperity of machine learning has been accompanied by increasing attacks on the
training process. Among them, poisoning attacks have become an emerging threat during …

Deep learning models are often trained on distributed, web-scale datasets crawled from the
internet. In this paper, we introduce two new dataset poisoning attacks that intentionally …

Instruction-tuned LMs such as ChatGPT, FLAN, and InstructGPT are finetuned on datasets
that contain user-submitted examples, eg, FLAN aggregates numerous open-source …

Instruction tuning is an effective technique to align large language models (LLMs) with
human intent. In this work, we investigate how an adversary can exploit instruction tuning by …

Fairness and robustness are two important concerns for federated learning systems. In this
work, we identify that robustness to data and model poisoning attacks and fairness …

The success of machine learning is fueled by the increasing availability of computing power
and large training datasets. The training data is used to learn new models or update existing …

This paper delves into the realm of ChatGPT, an AI-powered chatbot that utilizes topic
modeling and reinforcement learning to generate natural responses. Although ChatGPT …

Data Poisoning attacks modify training data to maliciously control a model trained on such
data. In this work, we focus on targeted poisoning attacks which cause a reclassification of …