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Author search results
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- Gagandeep Kaur
- Gagandeep Singh 0001
University of Illinois Urbana-Champaign, IL, USA - Gagandeep Singh — disambiguation page
- Gagandeep Singh 0002
IBM Research - Zurich, Switzerland
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Publication search results
found 311 matches
- 2024
- Mahira Kirmani, Gagandeep Kour, Mudasir Mohd, Nasrullah Sheikh, Dawood Ashraf Khan, Zahid Maqbool, Mohsin Altaf Wani, Abid Hussain Wani:
Biomedical semantic text summarizer. BMC Bioinform. 25(1): 152 (2024) - Gagandeep Kaur, Rajni, Jagtar Singh Sivia:
Development of deep and machine learning convolutional networks of variable spatial resolution for automatic detection of leaf blast disease of rice. Comput. Electron. Agric. 224: 109210 (2024) - Parveen Singla, Hitendra Garg, Gagandeep, Aditya Pathak, Simar Preet Singh:
Privacy Enhancement in Internet of Things (IoT) via mRMR for prevention and avoidance of data leakage. Comput. Electr. Eng. 116: 109151 (2024) - Mahira Kirmani, Gagandeep Kaur, Mudasir Mohd:
Analysis of Abstractive and Extractive Summarization Methods. Int. J. Emerg. Technol. Learn. 19(1): 86-96 (2024) - Shivdev Shahi, Gagandeep Kaur, Abhishek Sharma, P. Basker:
Modelling of creep deformation in an annular rotating disc composed of Si-Ti-C-O fibre-bonded ceramic matrix composite using Seth's transition theory. Int. J. Model. Identif. Control. 44(3): 246-254 (2024) - Sumit Chopra, Gagandeep Singh Bains, Simranjot Kaur, Rajesh Sharma, Anchal Nayyar:
A review of the various applications and security issues in IoT and its future aspects. Int. J. Secur. Networks 19(3): 109-127 (2024) - Karishma Rao, Manu Bansal, Gagandeep Kaur:
An optimal system for increasing the contrast resolution qualities of histopathology images in the wavelet domain. Int. J. Imaging Syst. Technol. 34(1) (2024) - Gagandeep, Jaskirat Kaur, Sanket Mathur, Sukhpreet Kaur, Anand Nayyar, Simar Preet Singh, Sandeep Mathur:
Evaluating and mitigating gender bias in machine learning based resume filtering. Multim. Tools Appl. 83(9): 26599-26619 (2024) - Simranjot Kaur, Sumit Chopra, Anchal Nayyar, Rajesh Sharma, Gagandeep Singh:
A sequential convolutional neural network for image forgery detection. Multim. Tools Appl. 83(14): 41311-41325 (2024) - Gagandeep Kaur:
Enhancing energy use efficiency of wireless sensor networks using newly proposed fault tolerance multipath routing protocol (MRP-FT). Oper. Res. Decis. 34(3) (2024) - Debangshu Banerjee, Changming Xu, Gagandeep Singh:
Input-Relational Verification of Deep Neural Networks. Proc. ACM Program. Lang. 8(PLDI): 1-27 (2024) - Mahira Kirmani, Gagandeep Kaur:
Text Summarization for Online and Blended Learning. Scalable Comput. Pract. Exp. 25(2): 972-986 (2024) - Gagandeep Kaur, Mahua Bhattacharya:
Green Fault Tolerant AIoT-Enabled Mobile Sink Data Collection Scheme in Sensor Networks. IEEE Trans. Veh. Technol. 73(10): 15385-15394 (2024) - Gagandeep Kaur, Ranjitha Prasad:
Exploiting Sparsity in Over-parameterized Federated Learning over Multiple Access Channels. COMAD/CODS 2024: 605-606 - Gagandeep Singh, Mohammad Nadir, Rachit Thukral, Varun Gambhir, Piyush Chanana, Rohan Paul:
An Embedded AI System for Predicting and Correcting the Sensor-Orientation of an Electronic Travel Aid During Use by a Visually Impaired Person. ICCHP (1) 2024: 444-453 - Debangshu Banerjee, Avaljot Singh, Gagandeep Singh:
Interpreting Robustness Proofs of Deep Neural Networks. ICLR 2024 - Harman Singh Farwah, Gagandeep Singh, Cheng Tan:
Exploiting Time Channel Vulnerability of Learned Bloom Filters. Tiny Papers @ ICLR 2024 - Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri:
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler. ICLR 2024 - Tarun Suresh, Shubham Ugare, Gagandeep Singh, Sasa Misailovic:
Is Watermarking LLM-Generated Code Robust? Tiny Papers @ ICLR 2024 - Shubham Ugare, Tarun Suresh, Debangshu Banerjee, Gagandeep Singh, Sasa Misailovic:
Incremental Randomized Smoothing Certification. ICLR 2024 - Jason Vega, Isha Chaudhary, Changming Xu, Gagandeep Singh:
Bypassing the Safety Training of Open-Source LLMs with Priming Attacks. Tiny Papers @ ICLR 2024 - Debangshu Banerjee, Gagandeep Singh:
Relational DNN Verification With Cross Executional Bound Refinement. ICML 2024 - Changming Xu, Gagandeep Singh:
Robust Universal Adversarial Perturbations. ICML 2024 - Gagandeep Panwar, Muhammad Laghari, Esha Choukse, Xun Jian:
DyLeCT: Achieving Huge-page-like Translation Performance for Hardware-compressed Memory. ISCA 2024: 1129-1143 - Isha Chaudhary, Alex Renda, Charith Mendis, Gagandeep Singh:
COMET: Neural Cost Model Explanation Framework. MLSys 2024 - Pranav Jain, Gagandeep, Sneh Saurabh:
FLIP: An Artificial Neural Network-based Post-routing Incremental Placer. VLSID 2024: 55-60 - Yinglun Xu, Gagandeep Singh:
Efficient Two-Phase Offline Deep Reinforcement Learning from Preference Feedback. CoRR abs/2401.00330 (2024) - Enyi Jiang, Gagandeep Singh:
RAMP: Boosting Adversarial Robustness Against Multiple lp Perturbations. CoRR abs/2402.06827 (2024) - Yinglun Xu, Rohan Gumaste, Gagandeep Singh:
Reward Poisoning Attack Against Offline Reinforcement Learning. CoRR abs/2402.09695 (2024) - Isha Chaudhary, Vedaant V. Jain, Gagandeep Singh:
QuaCer-C: Quantitative Certification of Knowledge Comprehension in LLMs. CoRR abs/2402.15929 (2024)
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