Lalith Bharadwaj Baru

12 papers B 1Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Double exponential neuron evolution versus merely exponential Artificial Intelligence (AI): Reconsideration of Kurzweil's Singularity. Biosyst. Varshith Madishetty, Lalith Bharadwaj Baru, S. Hussain Ather, Richard Gordon
2025	—	`conf`	Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge. MICCAI (4) Lalith Bharadwaj Baru, Kamalaker Dadi, Tapabrata Chakraborti, Raju S. Bapi
2025	J	`jnl`	Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge. CoRR Lalith Bharadwaj Baru, Kamalaker Dadi, Tapabrata Chakraborti, Raju S. Bapi
2025	—	`conf`	Wavelet-Driven Generalizable Framework for Deepfake Face Forgery Detection. WACV (Workshops) Lalith Bharadwaj Baru, Rohit Boddeda, Shilhora Akshay Patel, Sai Mohan Gajapaka
2024	J	`jnl`	Harnessing Wavelet Transformations for Generalizable Deepfake Forgery Detection. CoRR Lalith Bharadwaj Baru, Shilhora Akshay Patel, Rohit Boddeda
2024	B	`conf`	HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable HyperEdges. IJCNN Mehul Arora, Chirag Shantilal Jain, Lalith Bharadwaj Baru, Kamalaker Dadi, Raju S. Bapi
2024	J	`jnl`	HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges. CoRR Mehul Arora, Chirag Shantilal Jain, Lalith Bharadwaj Baru, Kamalaker Dadi, Bapi Raju Surampudi
2023	—	`conf`	BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision. BrainLes/SWITCH@MICCAI Prantik Deb, Lalith Bharadwaj Baru, Kamalaker Dadi, Raju S. Bapi
2023	J	`jnl`	BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision. CoRR Prantik Deb, Lalith Bharadwaj Baru, Kamalaker Dadi, Raju S. Bapi
2022	J	`jnl`	Interpreting Bias in the Neural Networks: A Peek Into Representational Similarity. CoRR Gnyanesh Bangaru, Lalith Bharadwaj Baru, Kiran Chakravarthula
2022	J	`jnl`	Plant Disease Classification Using Deep Bilinear CNN. Intell. Autom. Soft Comput. D. Srinivasa Rao, Ch. Ramesh Babu, V. Sravan Kiran, N. Rajasekhar, Kalyanapu Srinivas, Shilhora Akshay Patel, Sai Mohan Gajapaka, Lalith Bharadwaj Baru
2021	J	`jnl`	Improvising the Learning of Neural Networks on Hyperspherical Manifold. CoRR Lalith Bharadwaj Baru, Sai Vardhan Kanumolu, Shilhora Akshay Patel

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.