activity
20062022
most citedData Synthesis based on Generative Adversarial Networks

550 citations · 602 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CR2022

An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models

Jihyeon Hyeong, Jayoung Kim, Noseong Park +1

Tabular data typically contains private and important information; thus, precautions must be taken before they are shared with others. Although several methods (e.g., differential…

cs.CR2021★ 37 cited

PatchRNN: A Deep Learning-Based System for Security Patch Identification

Xinda Wang, Shu Wang, Pengbin Feng +4

With the increasing usage of open-source software (OSS) components, vulnerabilities embedded within them are propagated to a huge number of underlying applications. In practice, th…

cs.CR2020★ 1 cited

Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks

Dorjan Hitaj, Briland Hitaj, Sushil Jajodia +1

To this date, CAPTCHAs have served as the first line of defense preventing unauthorized access by (malicious) bots to web-based services, while at the same time maintaining a troub…

cs.CR2018

Two Can Play That Game: An Adversarial Evaluation of a Cyber-alert Inspection System

Ankit Shah, Arunesh Sinha, Rajesh Ganesan +2

Cyber-security is an important societal concern. Cyber-attacks have increased in numbers as well as in the extent of damage caused in every attack. Large organizations operate a Cy…

cs.DB2018★ 550 cited

Data Synthesis based on Generative Adversarial Networks

Noseong Park, Mahmoud Mohammadi, Kshitij Gorde +3

Privacy is an important concern for our society where sharing data with partners or releasing data to the public is a frequent occurrence. Some of the techniques that are being use…

cs.DB2015★ 1 cited

On-the fly AES Decryption/Encryption for Cloud SQL Databases

Sushil Jajodia, Witold Litwin, Thomas Schwarz

We propose the client-side AES256 encryption for a cloud SQL DB. A column ciphertext is deterministic or probabilistic. We trust the cloud DBMS for security of its run-time values,…