Saketh Bachu - RankMe

16 papers A* 4A 1C 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference. ICLR Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
2025	A*	`conf`	Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models. ICML Saketh Bachu, Erfan Shayegani, Rohit Lal, Trishna Chakraborty, Arindam Dutta, Chengyu Song, Yue Dong, Nael B. Abu-Ghazaleh, Amit Roy-Chowdhury
2025	A	`conf`	STRIDE: Single-Video Based Temporally Continuous Occlusion-Robust 3D Pose Estimation. WACV Rohit Lal, Saketh Bachu, Yash Garg, Arindam Dutta, Calvin-Khang Ta, Hannah Dela Cruz, Dripta S. Raychaudhuri, M. Salman Asif, Amit K. Roy-Chowdhury
2025	J	`jnl`	Unsupervised Domain Adaptation for Occlusion Resilient Human Pose Estimation. CoRR Arindam Dutta, Sarosij Bose, Saketh Bachu, Calvin-Khang Ta, Konstantinos Karydis, Amit K. Roy-Chowdhury
2025	J	`jnl`	VOccl3D: A Video Benchmark Dataset for 3D Human Pose and Shape Estimation under real Occlusions. CoRR Yash Garg, Saketh Bachu, Arindam Dutta, Rohit Lal, Sarosij Bose, Calvin-Khang Ta, M. Salman Asif, Amit K. Roy-Chowdhury
2024	—	`conf`	Active Transferability Estimation. CVPR Workshops Tarun Ram Menta, Surgan Jandial, Akash Patil, Saketh Bachu, Vimal K. B., Balaji Krishnamurthy, Vineeth N. Balasubramanian, Mausoom Sarkar, Chirag Agarwal
2024	A*	`conf`	Towards Learning and Explaining Indirect Causal Effects in Neural Networks. AAAI Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak, Benin Godfrey L, Varshaneya V, Vineeth N. Balasubramanian, Satyanarayan Kar
2024	J	`jnl`	Unfair Alignment: Examining Safety Alignment Across Vision Encoder Layers in Vision-Language Models. CoRR Saketh Bachu, Erfan Shayegani, Trishna Chakraborty, Rohit Lal, Arindam Dutta, Chengyu Song, Yue Dong, Nael B. Abu-Ghazaleh, Amit K. Roy-Chowdhury
2023	A*	`conf`	Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach. ICCV Vimal K. B., Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N. Balasubramanian
2023	J	`jnl`	Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach. CoRR Vimal KB, Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N. Balasubramanian
2023	J	`jnl`	Causal Inference Using LLM-Guided Discovery. CoRR Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
2023	J	`jnl`	Learning Causal Attributions in Neural Networks: Beyond Direct Effects. CoRR Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak, Benin L. Godfrey, Vineeth N. Balasubramanian, Varshaneya V, Satya Narayanan Kar
2023	J	`jnl`	Rethinking Counterfactual Data Augmentation Under Confounding. CoRR Abbavaram Gowtham Reddy, Saketh Bachu, Saloni Dash, Charchit Sharma, Amit Sharma, Vineeth N. Balasubramanian
2023	J	`jnl`	Towards Estimating Transferability using Hard Subsets. CoRR Tarun Ram Menta, Surgan Jandial, Akash Patil, Vimal KB, Saketh Bachu, Balaji Krishnamurthy, Vineeth N. Balasubramanian, Chirag Agarwal, Mausoom Sarkar
2022	C	`conf`	Multi-Stage Pyramid Parsing Network For Lane Marking Detection. INISTA Tushar Garg, Saketh Bachu, Deepak Panda, Mallikarjuna Reddy, Shaikh Ibrahim, Bharath Bhat
2020	—	`conf`	Paying Attention to Video Generation. Preregister@NeurIPS Rishika Bhagwatkar, Khurshed Fitter, Saketh Bachu, Akshay R. Kulkarni, Shital S. Chiddarwar

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.