6 papers
Mirage: Unveiling Hidden Artifacts in Synthetic Images with Large Vision-Language Models
Pranav Sharma, Shivank Garg, Durga Toshniwal
Recent advances in image generation models have led to models that produce synthetic images that are increasingly difficult for standard AI detectors to identify, even though they…
Attention Shift: Steering AI Away from Unsafe Content
Shivank Garg, Manyana Tiwari
This study investigates the generation of unsafe or harmful content in state-of-the-art generative models, focusing on methods for restricting such generations. We introduce a nove…
Snowy Scenes,Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather Conditions
Shivank Garg, Abhishek Baghel, Amit Agarwal +1
With the rise of autonomous vehicles and advanced driver-assistance systems (ADAS), ensuring reliable object detection in all weather conditions is crucial for safety and efficienc…
Unmasking the Veil: An Investigation into Concept Ablation for Privacy and Copyright Protection in Images
Shivank Garg, Manyana Tiwari
In this paper, we extend the study of concept ablation within pre-trained models as introduced in 'Ablating Concepts in Text-to-Image Diffusion Models' by (Kumari et al.,2022). Our…
Confidence Is All You Need for MI Attacks
Abhishek Sinha, Himanshi Tibrewal, Mansi Gupta +2
In this evolving era of machine learning security, membership inference attacks have emerged as a potent threat to the confidentiality of sensitive data. In this attack, adversarie…
Motivating Next-Generation OS Physical Memory Management for Terabyte-Scale NVMMs
Shivank Garg, Aravinda Prasad, Debadatta Mishra +1
Software managed byte-addressable hybrid memory systems consisting of DRAMs and NVMMs offer a lot of flexibility to design efficient large scale data processing applications. Opera…