Harshavardhan Sundar — accepted AI-conference papers

2026

Detecting Temporal Misalignment Attacks in Multimodal Fusion for Autonomous Driving

Md Hasan Shahriar, Md Mohaimin Al Barat, Harshavardhan Sundar, Ning Zhang, Naren Ramakrishnan, Thomas Hou +1

ICLR 2026poster

Multimodal fusion (MMF) is crucial for autonomous driving perception, combining camera and LiDAR streams for reliable scene understanding. However, its reliance on precise temporal synchronization introduces a vulnerability: adversaries can exploit network-induced delays to subtly misalign sensor st…

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2025

Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction

Shu-wen Yang, Byeonggeun Kim, Kuan-Po Huang, Qingming Tang, HUY PHAN, Bo-Ru Lu +5

ICML 2025poster

Autoregressive next-token prediction with the Transformer decoder has become a de facto standard in large language models (LLMs), achieving remarkable success in Natural Language Processing (NLP) at scale. Extending this paradigm to audio poses unique challenges due to its inherently continuous natu…

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2020

Raw Waveform Based End-to-end Deep Convolutional Network for Spatial Localization of Multiple Acoustic Sources

Harshavardhan Sundar, Weiran Wang, Ming Sun, Chao Wang

ICASSP 2020accepted

In this paper, we present an end-to-end deep convolutional neural network operating on multi-channel raw audio data to localize multiple simultaneously active acoustic sources in space. Previously reported deep learning based approaches work well in localizing a single source directly from multi-cha…

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