24 citations · 37 across the 6 of their papers we have counts for
6 papers
The History Is the Detector: Executing CVE Patch History, End-to-End
Qiushi Wu, Kevin Eykholt, Youngja Park +4
Public vulnerability databases collect rich information about known software flaws, including their weakness types, affected components, and related patches. Fixing commits provide…
Towards Generating Informative Textual Description for Neurons in Language Models
Shrayani Mondal, Rishabh Garodia, Arbaaz Qureshi +2
Recent developments in transformer-based language models have allowed them to capture a wide variety of world knowledge that can be adapted to downstream tasks with limited resourc…
Split-NER: Named Entity Recognition via Two Question-Answering-based Classifications
Jatin Arora, Youngja Park
In this work, we address the NER problem by splitting it into two logical sub-tasks: (1) Span Detection which simply extracts entity mention spans irrespective of entity type; (2)…
Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI
Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park +1
Public and commercial organizations extensively share cyberthreat intelligence (CTI) to prepare systems to defend against existing and emerging cyberattacks. However, traditional C…
CyNER: A Python Library for Cybersecurity Named Entity Recognition
Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park +1
Open Cyber threat intelligence (OpenCTI) information is available in an unstructured format from heterogeneous sources on the Internet. We present CyNER, an open-source python libr…
Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural Networks
Kathrin Grosse, Taesung Lee, Battista Biggio +3
Backdoor attacks mislead machine-learning models to output an attacker-specified class when presented a specific trigger at test time. These attacks require poisoning the training…