8 citations · 12 across the 3 of their papers we have counts for
5 papers
Natural Code Transformation Confuses Agents in Vulnerability Analysis
Jie Zhu, Ronik Bhaskar, Heather Zheng +2
Having demonstrated a strong potential for automating vulnerability discovery, AI agents can also be used to attack software systems at scale. Today's software systems need mechani…
Mitigating Private Data Leakage in LLMs with Whiteout
Anna Yoo Jeong Ha, Ronik Bhaskar, Haitao Zheng +1
Modern large language models (LLMs) are trained on massive, largely unfiltered datasets, including content scraped from nearly every accessible website and user inputs. As a result…
On the Feasibility of Poisoning Text-to-Image AI Models via Adversarial Mislabeling
Stanley Wu, Ronik Bhaskar, Anna Yoo Jeong Ha +3
Today's text-to-image generative models are trained on millions of images sourced from the Internet, each paired with a detailed caption produced by Vision-Language Models (VLMs).…
Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?
Anna Yoo Jeong Ha, Josephine Passananti, Ronik Bhaskar +4
The advent of generative AI images has completely disrupted the art world. Distinguishing AI generated images from human art is a challenging problem whose impact is growing over t…
Can Virtual Reality Protect Users from Keystroke Inference Attacks?
Zhuolin Yang, Zain Sarwar, Iris Hwang +3
Virtual Reality (VR) has gained popularity by providing immersive and interactive experiences without geographical limitations. It also provides a sense of personal privacy through…