8 citations · 11 across the 8 of their papers we have counts for
8 papers
Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Models
Aditi Sarker, Nazreen Shah, Rafi Ibn Sultan +3
Large Vision-Language Models (LVLMs) achieve strong performance across many multimodal tasks; however, they often exploit spurious object-background correlations, resulting in pred…
Untargeted Code Authorship Evasion with Seq2Seq Transformation
Soohyeon Choi, Rhongho Jang, DaeHun Nyang +1
Code authorship attribution is the problem of identifying authors of programming language codes through the stylistic features in their codes, a topic that recently witnessed signi…
Measuring and Modeling the Free Content Web
Abdulrahman Alabduljabbar, Runyu Ma, Ahmed Abusnaina +4
Free content websites that provide free books, music, games, movies, etc., have existed on the Internet for many years. While it is a common belief that such websites might be diff…
Understanding the Security and Performance of the Web Presence of Hospitals: A Measurement Study
Mohammed Alkinoon, Abdulrahman Alabduljabbar, Hattan Althebeiti +3
Using a total of 4,774 hospitals categorized as government, non-profit, and proprietary hospitals, this study provides the first measurement-based analysis of hospitals' websites a…
Count-Less: A Counting Sketch for the Data Plane of High Speed Switches
SunYoung Kim, Changhun Jung, RhongHo Jang +2
Demands are increasing to measure per-flow statistics in the data plane of high-speed switches. Measuring flows with exact counting is infeasible due to processing and memory const…
ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation
Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani +4
The rapid growth of the Internet of Things (IoT) devices is paralleled by them being on the front-line of malicious attacks. This has led to an explosion in the number of IoT malwa…
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification
Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary +5
The wide acceptance of Internet of Things (IoT) for both household and industrial applications is accompanied by several security concerns. A major security concern is their probab…
Scaling Up Anomaly Detection Using In-DRAM Working Set of Active Flows Table
Rhongho Jang, Seongkwang Moon, Youngtae Noh +2
In the zettabyte era, per-flow measurement becomes more challenging owing to the growth of both traffic volumes and the number of flows. Also, swiftness of detection of anomalies (…