5 papers
Universal Adversarial Suffixes for Language Models Using Reinforcement Learning with Calibrated Reward
Sampriti Soor, Suklav Ghosh, Arijit Sur
Language models are vulnerable to short adversarial suffixes that can reliably alter predictions. Previous works usually find such suffixes with gradient search or rule-based metho…
Universal Adversarial Suffixes Using Calibrated Gumbel-Softmax Relaxation
Sampriti Soor, Suklav Ghosh, Arijit Sur
Language models (LMs) are often used as zero-shot or few-shot classifiers by scoring label words, but they remain fragile to adversarial prompts. Prior work typically optimizes tas…
A Generative Adversarial Approach to Adversarial Attacks Guided by Contrastive Language-Image Pre-trained Model
Sampriti Soor, Alik Pramanick, Jothiprakash K +1
The rapid growth of deep learning has brought about powerful models that can handle various tasks, like identifying images and understanding language. However, adversarial attacks,…
A UNet Model for Accelerated Preprocessing of CRISM Hyperspectral Data for Mineral Identification on Mars
Priyanka Kumari, Sampriti Soor, Amba Shetty +1
Accurate mineral identification on the Martian surface is critical for understanding the planet's geological history. This paper presents a UNet-based autoencoder model for efficie…
Weighted Sum of Segmented Correlation: An Efficient Method for Spectra Matching in Hyperspectral Images
Sampriti Soor, Priyanka Kumari, B. S. Daya Sagar +1
Matching a target spectrum with known spectra in a spectral library is a common method for material identification in hyperspectral imaging research. Hyperspectral spectra exhibit…