1 citations · 1 across the 6 of their papers we have counts for
6 papers
TamperBench: Systematically Stress-Testing LLM Safety Under Fine-Tuning and Tampering
Saad Hossain, Tom Tseng, Punya Syon Pandey +8
As increasingly capable open-weight large language models (LLMs) are deployed, improving their tamper resistance against unsafe modifications, whether accidental or intentional, be…
SafeTuneBed: A Toolkit for Benchmarking LLM Safety Alignment in Fine-Tuning
Saad Hossain, Samanvay Vajpayee, Sirisha Rambhatla
As large language models (LLMs) become ubiquitous, parameter-efficient fine-tuning methods and safety-first defenses have proliferated rapidly. However, the number of approaches an…
LangDA: Building Context-Awareness via Language for Domain Adaptive Semantic Segmentation
Chang Liu, Bavesh Balaji, Saad Hossain +5
Unsupervised domain adaptation for semantic segmentation (DASS) aims to transfer knowledge from a label-rich source domain to a target domain with no labels. Two key approaches in…
Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?
Jinman Park, Francois Barnard, Saad Hossain +2
Unsupervised domain adaptation (UDA) aims to bridge the gap between source and target domains in the absence of target domain labels using two main techniques: input-level alignmen…
Domain Generalization for Domain-Linked Classes
Kimathi Kaai, Saad Hossain, Sirisha Rambhatla
Domain generalization (DG) focuses on transferring domain-invariant knowledge from multiple source domains (available at train time) to an, a priori, unseen target domain(s). This…
Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation
Jinman Park, Kimathi Kaai, Saad Hossain +3
Egocentric 3D human pose estimation (HPE) from images is challenging due to severe self-occlusions and strong distortion introduced by the fish-eye view from the head mounted camer…