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Home/Authors/Bhavya Kailkhura

Bhavya Kailkhura

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 8:46 PM AMS

15

papers

367

total citations

papers (15)

G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators

NEURIPS 2021arXiv

A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness

NEURIPS 2021arXiv

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression

Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies

How Robust Are Randomized Smoothing Based Defenses to Data Poisoning?

Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning

NEURIPS 2021arXiv

Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

NEURIPS 2020arXiv

Neural Image Compression: Generalization, Robustness, and Spectral Biases

NEURIPS 2023arXiv

TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention

Models Out of Line: A Fourier Lens on Distribution Shift Robustness

NEURIPS 2022arXiv

Position: TrustLLM: Trustworthiness in Large Language Models

A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning

Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings?

A Spectral View of Randomized Smoothing under Common Corruptions: Benchmarking and Improving Certified Robustness