In the last few years, Artificial Intelligence (AI) has achieved a notable momentum that, if harnessed appropriately, may deliver the best of expectations over many application sectors …
An emerging method to cheaply improve a weaker language model is to finetune it on outputs from a stronger model, such as a proprietary system like ChatGPT (eg, Alpaca, Self …
W Saeed, C Omlin - Knowledge-Based Systems, 2023 - Elsevier
The past decade has seen significant progress in artificial intelligence (AI), which has resulted in algorithms being adopted for resolving a variety of problems. However, this …
Ensuring alignment, which refers to making models behave in accordance with human intentions [1, 2], has become a critical task before deploying large language models (LLMs) …
X Zhao, YX Wang, L Li - International Conference on …, 2023 - proceedings.mlr.press
Abstract Language generation models have been an increasingly powerful enabler to many applications. Many such models offer free or affordable API access which makes them …
As machine learning becomes more widely used, the need to study its implications in security and privacy becomes more urgent. Although the body of work in privacy has been …
Z Wang, J Zhai, S Ma - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
Deep neural networks are vulnerable to Trojan attacks. Existing attacks use visible patterns (eg, a patch or image transformations) as triggers, which are vulnerable to human …
J Zhang, S Peng, Y Gao, Z Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Training a Deep Learning (DL) model requires proprietary data and computing-intensive resources. To recoup their training costs, a model provider can monetize DL models through …
In a model extraction attack, an adversary steals a copy of a remotely deployed machine learning model, given oracle prediction access. We taxonomize model extraction attacks …