Saksham Aggarwal

15 papers A* 1A 1Misc 2Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
CyberExplorer: Benchmarking LLM Offensive Security Capabilities in a Real-World Attacking Simulation Environment.
CoRR
Nanda Rani, Kimberly Milner, Minghao Shao, Meet Udeshi, Haoran Xi, Venkata Sai Charan Putrevu, Saksham Aggarwal, Sandeep K. Shukla, Prashanth Krishnamurthy, Farshad Khorrami, Muhammad Shafique, Ramesh Karri
2026 A* conf
Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark.
AAAI
Minghao Shao, Nanda Rani, Kimberly Milner, Haoran Xi, Meet Udeshi, Saksham Aggarwal, Venkata Sai Charan Putrevu, Sandeep K. Shukla, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique
2025 J jnl
D-STEER - Preference Alignment Techniques Learn to Behave, not to Believe - Beneath the Surface, DPO as Steering Vector Perturbation in Activation Space.
CoRR
Samarth Raina, Saksham Aggarwal, Aman Chadha, Vinija Jain, Amitava Das
2025 J jnl
SPHINX: A Synthetic Environment for Visual Perception and Reasoning.
CoRR
Md Tanvirul Alam, Saksham Aggarwal, Justin Yang Chae, Nidhi Rastogi
2025 J jnl
Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark.
CoRR
Minghao Shao, Nanda Rani, Kimberly Milner, Haoran Xi, Meet Udeshi, Saksham Aggarwal, Venkata Sai Charan Putrevu, Sandeep Kumar Shukla, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique
2024 A conf
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning.
WACV
Udbhav Bamba, Neeraj Anand, Saksham Aggarwal, Dilip K. Prasad, Deepak K. Gupta
2023 — conf
A Matrix-Based Approach to Parity Games.
TACAS (1)
Saksham Aggarwal, Alejandro Stuckey de la Banda, Luke Yang, Julian Gutierrez
2023 J jnl
Deep learning approach to automatically recognise license number plates.
Multim. Tools Appl.
Anjali Gautam, Divyesh Rana, Saksham Aggarwal, Swaraj Bhosle, Hritik Sharma
2023 J jnl
MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval.
CoRR
Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Alexander Horsch, Dilip K. Prasad
2023 Misc conf
Mabnet: Master Assistant Buddy Network With Hybrid Learning for Image Retrieval.
ICASSP
Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Alexander Horsch, Dilip K. Prasad
2023 Misc conf
On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers?
ICASSP
Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
2022 — conf
GPTs at Factify 2022: Prompt Aided Fact-Verification (short paper).
DE-FACTIFY@AAAI
Saksham Aggarwal, Pawan Kumar Sahu, Taneesh Gupta, Gyanendra Das
2022 J jnl
GPTs at Factify 2022: Prompt Aided Fact-Verification.
CoRR
Pawan Kumar Sahu, Saksham Aggarwal, Taneesh Gupta, Gyanendra Das
2022 J jnl
On designing light-weight object trackers through network pruning: Use CNNs or transformers?
CoRR
Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
2021 — conf
Bird-Species Audio Identification, Ensembling 1D + 2D Signals.
CLEF (Working Notes)
Gyanendra Das, Saksham Aggarwal