Saurabh Agarwal

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 42

Top Topics

Forgery Detection

Median Filtering

Short Text Classification

Top Venues

Multim. Tools Appl.

Publications

Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A Aly, Beidi Chen, Carole-Jean Wu
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding. CoRR (2024)
Saurabh Agarwal, Ki-Hyun Jung
Image operator forensics and sequence estimation using robust deep neural network. Multim. Tools Appl. 83 (16) (2024)
Saurabh Agarwal, Ki-Hyun Jung
Digital image steganalysis using entropy driven deep neural network. J. Inf. Secur. Appl. 84 (2024)
Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A Aly, Beidi Chen, Carole-Jean Wu
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding. ACL (1) (2024)
Saurabh Agarwal, K. V. Arya, Yogesh Kumar Meena
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification. CoRR (2024)
Saurabh Agarwal, Ki-Hyun Jung
Forensic analysis and detection using polycolor model binary pattern for colorized images. Multim. Tools Appl. 83 (14) (2024)
Minghao Yan, Saurabh Agarwal, Shivaram Venkataraman
Decoding Speculative Decoding. CoRR (2024)
Amrita Joshi, Saurabh Agarwal, Debi Prasanna Kanungo, Rajib Kumar Panigrahi
Integration of Edge-AI Into IoT-Cloud Architecture for Landslide Monitoring and Prediction. IEEE Trans. Ind. Informatics 20 (3) (2024)
Saurabh Agarwal, Bilge Acun, Basil Hosmer, Mostafa Elhoushi, Yejin Lee, Shivaram Venkataraman, Dimitris Papailiopoulos, Carole-Jean Wu
CHAI: Clustered Head Attention for Efficient LLM Inference. CoRR (2024)
Saurabh Agarwal, Amar Phanishayee, Shivaram Venkataraman
Blox: A Modular Toolkit for Deep Learning Schedulers. EuroSys (2024)
Saurabh Agarwal, Ki-Hyun Jung
Exploring Symmetry in Digital Image Forensics Using a Lightweight Deep-Learning Hybrid Model for Multiple Smoothing Operators. Symmetry 15 (12) (2023)
Hongyi Wang, Saurabh Agarwal, Pongsakorn U.-Chupala, Yoshiki Tanaka, Eric P. Xing, Dimitris Papailiopoulos
Cuttlefish: Low-Rank Model Training without All the Tuning. MLSys (2023)
Saurabh Agarwal, Chengpo Yan, Ziyi Zhang, Shivaram Venkataraman
Bagpipe: Accelerating Deep Recommendation Model Training. SOSP (2023)
Saurabh Agarwal, Dae-Jea Cho, Ki-Hyun Jung
Detecting Images in Two-Operator Series Manipulation: A Novel Approach Using Transposed Convolution and Information Fusion. Symmetry 15 (10) (2023)
Saurabh Agarwal, Amar Phanishayee, Shivaram Venkataraman
Blox: A Modular Toolkit for Deep Learning Schedulers. CoRR (2023)
Arun Kumar Rai, Hari Om, Satish Chand, Saurabh Agarwal
Reversible data hiding in encrypted image using two-pass pixel value ordering. J. Inf. Secur. Appl. 76 (2023)
Dilip Kumar Sharma, Bhuvanesh Singh, Saurabh Agarwal, Hyunsung Kim, Raj Sharma
FakedBits- Detecting Fake Information on Social Platforms using Multi-Modal Features. KSII Trans. Internet Inf. Syst. 17 (1) (2023)
Saurabh Agarwal, Ki-Hyun Jung
Median filtering detection using optimal multi-direction threshold on higher-order difference pixels. Multim. Tools Appl. 82 (20) (2023)
Hongyi Wang, Saurabh Agarwal, Pongsakorn U.-Chupala, Yoshiki Tanaka, Eric P. Xing, Dimitris S. Papailiopoulos
Cuttlefish: Low-Rank Model Training without All the Tuning. CoRR (2023)
Savita Walia, Krishan Kumar, Saurabh Agarwal, Hyunsung Kim
Using XAI for Deep Learning-Based Image Manipulation Detection with Shapley Additive Explanation. Symmetry 14 (8) (2022)
Saurabh Agarwal, Ziyi Zhang, Shivaram Venkataraman
BagPipe: Accelerating Deep Recommendation Model Training. CoRR (2022)
Saurabh Agarwal, Ki-Hyun Jung
Median filtering forensics based on optimum thresholding for low-resolution compressed images. Multim. Tools Appl. 81 (5) (2022)
Saurabh Agarwal, Hongyi Wang, Shivaram Venkataraman, Dimitris S. Papailiopoulos
On the Utility of Gradient Compression in Distributed Training Systems. MLSys (2022)
Saurabh Agarwal, Ki-Hyun Jung
Image Forensics using Optimal Normalization in Challenging Environment. ICEIC (2021)
Saurabh Agarwal, Hongyi Wang, Kangwook Lee, Shivaram Venkataraman, Dimitris S. Papailiopoulos
Adaptive Gradient Communication via Critical Learning Regime Identification. MLSys (2021)
Saurabh Agarwal, Hongyi Wang, Shivaram Venkataraman, Dimitris S. Papailiopoulos
On the Utility of Gradient Compression in Distributed Training Systems. CoRR (2021)
Hongyi Wang, Saurabh Agarwal, Dimitris S. Papailiopoulos
Pufferfish: Communication-efficient Models At No Extra Cost. MLSys (2021)
Hongyi Wang, Saurabh Agarwal, Dimitris S. Papailiopoulos
Pufferfish: Communication-efficient Models At No Extra Cost. CoRR (2021)
Yuhan Liu, Saurabh Agarwal, Shivaram Venkataraman
AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning. CoRR (2021)
Saurabh Agarwal, Hongyi Wang, Kangwook Lee, Shivaram Venkataraman, Dimitris S. Papailiopoulos
Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification. CoRR (2020)
Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. NeurIPS (2020)
Kshitij Tayal, Nikhil S. Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar
Regularized Graph Convolutional Networks for Short Text Classification. COLING (Industry) (2020)
Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. CoRR (2020)
Aravindakshan Babu, Saurabh Agarwal, Sudarshan Babu, Hariharan Chandrasekaran
Scalable K-Medoids via True Error Bound and Familywise Bandits. CoRR (2019)
Ian Pan, Saurabh Agarwal, Derek Merck
Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks. J. Digit. Imaging 32 (5) (2019)
Piyush Mital, Saurabh Agarwal, Bhargavi Neti, Yashodhara Haribhakta, Vibhavari Kamble, Krishnanjan Bhattacharjee, Debashri Das, Swati Mehta, Ajai Kumar
Graph based Question Answering System. CoRR (2018)
Saurabh Agarwal, Ashish Kumar Gaurav, Mehul Kumar Nirala, Sayan Sinha
Potential and Sampling Based RRT Star for Real-Time Dynamic Motion Planning Accounting for Momentum in Cost Function. ICONIP (7) (2018)
Saurabh Agarwal, Mark Ingels, Marianna Pantouvaki, Michiel Steyaert, Philippe Absil, Joris Van Campenhout
Highly integrated wavelength-locked Si photonic ring transmitter using direct monitoring of drop-port OMA. ESSCIRC (2017)
Saurabh Agarwal, Mark Ingels, Michal Rakowski, Marianna Pantouvaki, Michiel Steyaert, Philippe Absil, Joris Van Campenhout
Wavelength locking of a Si photonic ring transmitter using a dithering-based OMA stabilizing feedback loop. OFC (2016)
Saurabh Agarwal, Satish Chand
Image forgery detection using Markov features in undecimated wavelet transform. IC3 (2016)
Saurabh Agarwal, Satish Chand, Nikolay Skarbnik
SPAM revisited for median filtering detection using higher-order difference. Secur. Commun. Networks 9 (17) (2016)
Saurabh Agarwal, Mark Ingels, Marianna Pantouvaki, Michiel Steyaert, Philippe Absil, Joris Van Campenhout
Wavelength Locking of a Si Ring Modulator Using an Integrated Drop-Port OMA Monitoring Circuit. IEEE J. Solid State Circuits 51 (10) (2016)
Vinay B. Y. Kumar, Pinalkumar Engineer, Mandar Datar, Yatish Turakhia, Saurabh Agarwal, Sanket Diwale, Sachin B. Patkar
Framework for Application Mapping over Packet-Switched Network of FPGAs: Case Studies. CoRR (2015)
Saurabh Agarwal, Mark Ingels, Michal Rakowski, Marianna Pantouvaki, Michiel Steyaert, Philippe P. Absil, Joris Van Campenhout
Wavelength locking of a Si ring modulator using an integrated drop-port OMA monitoring circuit. A-SSCC (2015)
Saurabh Agarwal, Punit Kumar Johari
A Novel Approach to Develop a New Hybrid Technique for Trademark Image Retrieval. CoRR (2015)
Joy Chandra Mukherjee, Saurabh Agarwal, Arobinda Gupta
Distributed event notification in VANET with multiple service providers. DEBS (2014)
Saurabh Agarwal, Mark Ingels, Michal Rakowski, Marianna Pantouvaki, Michiel Steyaert, Philippe Absil, Joris Van Campenhout
Monitoring optical modulation amplitude using a low-power CMOS circuit for thermal control of Si ring transmitters. ECOC (2014)
Gyu Sang Choi, Saurabh Agarwal, Jin-Ha Kim, Chita R. Das, Andy B. Yoo
Performance Comparison of Coscheduling Algorithms for Non-Dedicated Clusters Through a Generic Framework. Int. J. High Perform. Comput. Appl. 21 (1) (2007)
Anirban Lahiri, Saurabh Agarwal, Anupam Basu, Bhargab B. Bhattacharya
Recovery-Based Real-Time Static Scheduling for Battery Life Optimization. VLSI Design (2006)
Saurabh Agarwal, Gudmund Skovbjerg Frandsen
A New GCD Algorithm for Quadratic Number Rings with Unique Factorization. LATIN (2006)
Saurabh Agarwal, Ronald Cramer, Robbert de Haan
Asymptotically Optimal Two-Round Perfectly Secure Message Transmission. CRYPTO (2006)
Saurabh Agarwal, Rahul Garg, Nisheeth K. Vishnoi
The Impact of Noise on the Scaling of Collectives: A Theoretical Approach. HiPC (2005)
Saurabh Agarwal, Rahul Garg, Meeta Sharma Gupta, José E. Moreira
Adaptive incremental checkpointing for massively parallel systems. ICS (2004)
Saurabh Agarwal, Gudmund Skovbjerg Frandsen
Binary GCD Like Algorithms for Some Complex Quadratic Rings. ANTS (2004)
Gyu Sang Choi, Saurabh Agarwal, Jin-Ha Kim, Andy B. Yoo, Chita R. Das
Impact of Job Allocation Strategies on Communication-Driven Coscheduling in Clusters. Euro-Par (2003)
Saurabh Agarwal, Gyu Sang Choi, Chita R. Das, Andy B. Yoo, Shailabh Nagar
Co-Ordinated Coscheduling in Time-Sharing Clusters through a Generic Framework. CLUSTER (2003)
Harpal S. Bassali, Jatin Chhugani, Saurabh Agarwal, Alok Aggarwal, Pradeep Dubey
Compression Tolerant Watermarking for Image Verification. ICIP (2000)