An asynchronous based approach to improve concurrency control in mobile web servers. - Sudipan Mishra; Siddharth Sarasvati; Shashank Srivastava; Xumin Liu (CollaborateCom, 2012)

A Structured Distributional Semantic Model for Event Co-reference. - Kartik Goyal; Sujay Kumar Jauhar; Huiying Li; Mrinmaya Sachan; Shashank Srivastava; Eduard H. Hovy (ACL (2), 2013)

A Structured Distributional Semantic Model : Integrating Structure with Semantics. - Kartik Goyal; Sujay Kumar Jauhar; Huiying Li; Mrinmaya Sachan; Shashank Srivastava; Eduard H. Hovy (CVSM@ACL, 2013)

A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations. - Shashank Srivastava; Dirk Hovy; Eduard H. Hovy (EMNLP, 2013)

Collective matrix factorization for co-clustering. - Mrinmaya Sachan; Shashank Srivastava (WWW (Companion Volume), 2013)

Vector space semantics with frequency-driven motifs. - Shashank Srivastava; Eduard H. Hovy (ACL (1), 2014)

Spatial compactness meets topical consistency: jointly modeling links and content for community detection. - Mrinmaya Sachan; Avinava Dubey; Shashank Srivastava; Eric P. Xing; Eduard H. Hovy (WSDM, 2014)

Fragmentation based encryption approach for self protected mobile agent. - Shashank Srivastava; Gora Chand Nandi (J. King Saud Univ. Comput. Inf. Sci., 2014)

Self-reliant mobile code: a new direction of agent security. - Shashank Srivastava; Gora Chand Nandi (J. Netw. Comput. Appl., 2014)

A hierarchical approach to adaptive distributed scheduling in cloud. - Prashant Misra; Shashank Srivastava; Nishant Narang; Sonu Goel; Prasenjit Maity; Aditya K. Saxena (ICACCI, 2015)

Trust analysis of execution platform for self protected mobile code. - Shashank Srivastava; Divya Kumar; Shuchi Chandra (ICACCI, 2015)

CMUML System for KBP 2015 Cold Start Slot Filling. - Bryan Kisiel; Bill McDowell; Matt Gardner 001; Ndapandula Nakashole; Emmanouil A. Platanios; Abulhair Saparov; Shashank Srivastava; Derry Wijaya; Tom M. Mitchell (TAC, 2015)

Modeling Dynamic Relationships Between Characters in Literary Novels. - Snigdha Chaturvedi; Shashank Srivastava; Hal Daumé III; Chris Dyer (CoRR, 2015)

Modeling Evolving Relationships Between Characters in Literary Novels. - Snigdha Chaturvedi; Shashank Srivastava; Hal Daumé III; Chris Dyer (AAAI, 2016)

Inferring Interpersonal Relations in Narrative Summaries. - Shashank Srivastava; Snigdha Chaturvedi; Tom M. Mitchell (AAAI, 2016)

CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking. - Bishan Yang; Ndapandula Nakashole; Bryan Kisiel; Emmanouil A. Platanios; Abulhair Saparov; Shashank Srivastava; Derry Wijaya; Tom M. Mitchell (TAC, 2016)

Research Trends in Security and DDoS in SDN. - Neelam Dayal; Prasenjit Maity; Shashank Srivastava; Rahamatullah Khondoker (Secur. Commun. Networks, 2016)

Analyzing behavior of DDoS attacks to identify DDoS detection features in SDN. - Neelam Dayal; Shashank Srivastava (COMSNETS, 2017)

Joint Concept Learning and Semantic Parsing from Natural Language Explanations. - Shashank Srivastava; Igor Labutov; Tom M. Mitchell (EMNLP, 2017)

Parsing Natural Language Conversations using Contextual Cues. - Shashank Srivastava; Amos Azaria; Tom M. Mitchell (IJCAI, 2017)

Performance impact of topology poisoning attack in SDN and its countermeasure. - Nivindar Kaur; Ashutosh Kumar Singh 002; Naveen Kumar 013; Shashank Srivastava (SIN, 2017)

Evaluating machine learning algorithms for detection of interest flooding attack in named data networking. - Naveen Kumar 013; Ashutosh Kumar Singh 002; Shashank Srivastava (SIN, 2017)

Preventing from Cross-VM Side-Channel Attack Using New Replacement Method. - Sandeep Saxena; Goutam Sanyal; Shashank Srivastava; Ruhul Amin 001 (Wirel. Pers. Commun., 2017)

A Triggered Delay-based Approach against Cache Privacy Attack in NDN. - Naveen Kumar 013; Shashank Srivastava (ICIS, 2018)

Zero-shot Learning of Classifiers from Natural Language Quantification. - Shashank Srivastava; Igor Labutov; Tom M. Mitchell (ACL (1), 2018)

A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text. - Shashank Srivastava; Nebojsa Jojic (ACL (1), 2018)

An RBF-PSO based approach for early detection of DDoS attacks in SDN. - Neelam Dayal; Shashank Srivastava (COMSNETS, 2018)

Leveraging SDN for Early Detection and Mitigation of DDoS Attacks. - Neelam Dayal; Shashank Srivastava (COMSNETS (Extended Selected Papers), 2018)

LIA: A Natural Language Programmable Personal Assistant. - Igor Labutov; Shashank Srivastava; Tom M. Mitchell (EMNLP (Demonstration), 2018)

Software Defined Underlay-aware Structured Peer-to-Peer Overlay. - Nitin Shukla; Anurag Bamal; Shashank Srivastava; Mayank Pandey (ICDCN, 2018)

Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes. - Snigdha Chaturvedi; Shashank Srivastava; Dan Roth 001 (NAACL-HLT (2), 2018)

A Triggered Delay-based Approach against Cache Privacy Attack in NDN. - Naveen Kumar 013; Ashutosh Kumar Singh 002; Shashank Srivastava (Int. J. Networked Distributed Comput., 2018)

A survey and classification of controller placement problem in SDN. - Ashutosh Kumar Singh 002; Shashank Srivastava (Int. J. Netw. Manag., 2018)

Learning to Ask for Conversational Machine Learning. - Shashank Srivastava; Igor Labutov; Tom M. Mitchell (EMNLP/IJCNLP (1), 2019)

Machine Learning Surrogates for Predicting Response of an Aero-Structural-Sloshing System. - Shashank Srivastava; Murali Damodaran; Boo Cheong Khoo (CoRR, 2019)

Formal modeling and verification of software-defined networks: A survey. - Nitin Shukla; Mayank Pandey; Shashank Srivastava (Int. J. Netw. Manag., 2019)

Security Attacks in Named Data Networking: A Review and Research Directions. - Naveen Kumar 013; Ashutosh Kumar Singh 002; Abdul Aleem; Shashank Srivastava (J. Comput. Sci. Technol., 2019)

NBP: Namespace-based privacy to counter timing-based attack in named data networking. - Naveen Kumar 013; Abdul Aleem; Ashutosh Kumar Singh 002; Shashank Srivastava (J. Netw. Comput. Appl., 2019)

Teaching Machines to Classify from Natural Language Interactions. - Shashank Srivastava (2019)

Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context. - Shashank Srivastava; Oleksandr Polozov; Nebojsa Jojic; Christopher Meek (ACL, 2020)

PRover: Proof Generation for Interpretable Reasoning over Rules. - Swarnadeep Saha; Sayan Ghosh; Shashank Srivastava; Mohit Bansal (EMNLP (1), 2020)

Unique Decoding of Explicit $ varepsilon$-balanced Codes Near the Gilbert-Varshamov Bound. - Fernando Granha Jeronimo; Dylan Quintana; Shashank Srivastava; Madhur Tulsiani (FOCS, 2020)

List Decoding of Direct Sum Codes. - Vedat Levi Alev; Fernando Granha Jeronimo; Dylan Quintana; Shashank Srivastava; Madhur Tulsiani (SODA, 2020)

An agent for learning new natural language commands. - Amos Azaria; Shashank Srivastava; Jayant Krishnamurthy; Igor Labutov; Tom M. Mitchell (Auton. Agents Multi Agent Syst., 2020)

Unique Decoding of Explicit ε-balanced Codes Near the Gilbert-Varshamov Bound. - Fernando Granha Jeronimo; Dylan Quintana; Shashank Srivastava; Madhur Tulsiani (CoRR, 2020)

Heuristic approaches for the reliable SDN controller placement problem. - Ashutosh Kumar Singh 002; Saurabh Maurya; Naveen Kumar 013; Shashank Srivastava (Trans. Emerg. Telecommun. Technol., 2020)

Varna-based optimization: a novel method for capacitated controller placement problem in SDN. - Ashutosh Kumar Singh 002; Saurabh Maurya; Shashank Srivastava (Frontiers Comput. Sci., 2020)

How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? - Sayan Ghosh; Zheng Qi; Snigdha Chaturvedi; Shashank Srivastava (ACL/IJCNLP (2), 2021)

Adversarial Scrubbing of Demographic Information for Text Classification. - Somnath Basu Roy Chowdhury; Sayan Ghosh; Yiyuan Li; Junier Oliva; Shashank Srivastava; Snigdha Chaturvedi (EMNLP (1), 2021)

Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning. - Sayan Ghosh; Shashank Srivastava (EMNLP (Findings), 2021)

Does Social Pressure Drive Persuasion in Online Fora? - Ayush Jain; Shashank Srivastava (EMNLP (1), 2021)

Improving and Simplifying Pattern Exploiting Training. - Derek Tam; Rakesh R. Menon; Mohit Bansal; Shashank Srivastava; Colin Raffel (EMNLP (1), 2021)

Near-linear time decoding of Ta-Shma's codes via splittable regularity. - Fernando Granha Jeronimo; Shashank Srivastava; Madhur Tulsiani (STOC, 2021)

SD-WAN Flood Tracer: Tracking the entry points of DDoS attack flows in WAN. - Neelam Dayal; Shashank Srivastava (Comput. Networks, 2021)

A variant of teaching-learning-based optimization and its application for minimizing the cost of Workflow Execution in the Cloud Computing. - Satya Deo Kumar Ram; Shashank Srivastava; Krishn Kumar Mishra (Concurr. Comput. Pract. Exp., 2021)

Fractional Cross Intersecting Families. - Rogers Mathew; Ritabrata Ray; Shashank Srivastava (Graphs Comb., 2021)

Towards software defined low maintenance structured peer-to-peer overlays. - Nitin Shukla; Dipmalya Datta; Mayank Pandey; Shashank Srivastava (Peer-to-Peer Netw. Appl., 2021)

CGP: Cluster-based gossip protocol for dynamic resource environment in cloud. - Shashank Srivastava; Sandeep Saxena; Rajkumar Buyya; Manoj Kumar 009; Achyut Shankar; Bharat Bhushan (Simul. Model. Pract. Theory, 2021)

Predicting Difficulty and Discrimination of Natural Language Questions. - Matthew Byrd; Shashank Srivastava (ACL (2), 2022)

ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding. - Sayan Ghosh; Shashank Srivastava (ACL (1), 2022)

CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations. - Rakesh R. Menon; Sayan Ghosh; Shashank Srivastava (ACL (1), 2022)

What do Large Language Models Learn beyond Language? - Avinash Madasu; Shashank Srivastava (EMNLP (Findings), 2022)

Modular and Fractional $L$-Intersecting Families of Vector Spaces. - Rogers Mathew; Tapas Kumar Mishra 001; Ritabrata Ray; Shashank Srivastava (Electron. J. Comb., 2022)

A new meta-heuristic approach for load aware-cost effective workflow scheduling. - Satya Deo Kumar Ram; Shashank Srivastava; Krishn Kumar Mishra (Concurr. Comput. Pract. Exp., 2022)

Identifying and Manipulating the Personality Traits of Language Models. - Graham Caron; Shashank Srivastava (CoRR, 2022)

ONOS Flood Defender: An Intelligent Approach to Mitigate DDoS Attack in SDN. - Naziya Aslam; Shashank Srivastava; M. M. Gore (Trans. Emerg. Telecommun. Technol., 2022)

An Effective Probabilistic Technique for DDoS Detection in OpenFlow Controller. - Prasenjit Maity; Sandeep Saxena; Shashank Srivastava; Kshira Sagar Sahoo; Ashok Kumar Pradhan; Neeraj Kumar 001 (IEEE Syst. J., 2022)

LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning. - Sayan Ghosh; Rakesh R. Menon; Shashank Srivastava (ACL (Findings), 2023)

A Comparison of Lexicon-Based and ML-Based Sentiment Analysis: Are There Outlier Words? - Siddhant Jaydeep Mahajani; Shashank Srivastava; Alan F. Smeaton (AICS, 2023)

Manipulating the Perceived Personality Traits of Language Models. - Graham Caron; Shashank Srivastava (EMNLP (Findings), 2023)

Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models. - Yiyuan Li; Rakesh R. Menon; Sayan Ghosh; Shashank Srivastava (EMNLP, 2023)

MaNtLE: Model-agnostic Natural Language Explainer. - Rakesh R. Menon; Kerem Zaman; Shashank Srivastava (EMNLP, 2023)

Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers. - Kangda Wei; Sayan Ghosh; Rakesh R. Menon; Shashank Srivastava (EMNLP (Findings), 2023)

Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture. - Bingsheng Yao; Ishan Jindal; Lucian Popa 001; Yannis Katsis; Sayan Ghosh; Lihong He 001; Yuxuan Lu 003; Shashank Srivastava; Yunyao Li 001; James A. Hendler; Dakuo Wang (EMNLP (Findings), 2023)

List Decoding of Tanner and Expander Amplified Codes from Distance Certificates. - Fernando Granha Jeronimo; Shashank Srivastava; Madhur Tulsiani (FOCS, 2023)

Analyzing effective mitigation of DDoS attack with software defined networking. - Neelam Dayal; Shashank Srivastava (Comput. Secur., 2023)

Redefining the learning mechanism in teaching-learning-based optimization and its applications for flowtime-aware-cost minimizing of the workflow in cloud. - Satya Deo Kumar Ram; Shashank Srivastava; Krishn Kumar Mishra (Concurr. Comput. Pract. Exp., 2023)

Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture. - Bingsheng Yao; Ishan Jindal; Lucian Popa 001; Yannis Katsis; Sayan Ghosh; Lihong He 001; Yuxuan Lu 003; Shashank Srivastava; James A. Hendler; Dakuo Wang (CoRR, 2023)

Evaluating heuristic techniques as a solution of controller placement problem in SDN. - Ashutosh Kumar Singh 002; Shashank Srivastava; Shashwati Banerjea (J. Ambient Intell. Humaniz. Comput., 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

ONOS DDoS Defender: A Comparative Analysis of Existing DDoS Attack Datasets using Ensemble Approach. - Naziya Aslam; Shashank Srivastava; M. M. Gore (Wirel. Pers. Commun., 2023)

Redefining teaching-and-learning-process in TLBO and its application in cloud. - Satya Deo Kumar Ram; Shashank Srivastava; K. K. Mishra 001 (Appl. Soft Comput., 2023)

Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments. - Fahmid Morshed Fahid; Jonathan P. Rowe; Yeo Jin Kim; Shashank Srivastava; James C. Lester (AAAI, 2024)

DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers. - Rakesh R. Menon; Shashank Srivastava (EMNLP, 2024)

SocialGaze: Improving the Integration of Human Social Norms in Large Language Models. - Anvesh Rao Vijjini; Rakesh R. Menon; Jiayi Fu; Shashank Srivastava; Snigdha Chaturvedi (EMNLP (Findings), 2024)

Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion. - Kerem Zaman; Leshem Choshen; Shashank Srivastava (EMNLP, 2024)

DDoS SourceTracer: An Intelligent Application for DDoS Attack Mitigation in SDN. - Naziya Aslam; Shashank Srivastava; M. M. Gore (Comput. Electr. Eng., 2024)

Continuous Optimization for Decoding Errors. - Shashank Srivastava (CoRR, 2024)

List Decodable Quantum LDPC Codes. - Thiago Bergamaschi; Fernando Granha Jeronimo; Tushant Mittal; Shashank Srivastava; Madhur Tulsiani (CoRR, 2024)

Optimization-Free Image Immunization Against Diffusion-Based Editing. - Tarik Can Ozden; Ozgur Kara; Oguzhan Akcin; Kerem Zaman; Shashank Srivastava; Sandeep P. Chinchali; James M. Rehg (CoRR, 2024)

FloodKnight: an intelligent DDoS defense scheme to combat attacks near attack entry points. - Neelam Dayal; Shashank Srivastava (J. Comput. Virol. Hacking Tech., 2024)

Classifying Unreliable Narrators with Large Language Models. - Anneliese Brei; Katharine Henry; Abhisheik Sharma; Shashank Srivastava; Snigdha Chaturvedi (ACL (1), 2025)

INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models. - Aum Kendapadi; Kerem Zaman; Rakesh R. Menon; Shashank Srivastava (ACL (1), 2025)

FISQL: Enhancing Text-to-SQL Systems with Rich Interactive Feedback. - Rakesh Menon; Kun Qian 002; Liqun Chen; Ishika Joshi; Daniel Pandyan; Shashank Srivastava; Yunyao Li 001 (EDBT, 2025)

Improved List Size for Folded Reed-Solomon Codes. - Shashank Srivastava (SODA, 2025)

Explicit Codes Approaching Generalized Singleton Bound using Expanders. - Fernando Granha Jeronimo; Tushant Mittal; Shashank Srivastava; Madhur Tulsiani (STOC, 2025)

Secure cognitive health monitoring using a directed acyclic graph-based and AI-enhanced IoMT framework. - Shashank Srivastava; Kartikeya Kansal; Siva Sai; Vinay Chamola (Digit. Commun. Networks, 2025)

Fast Detection and Traceback-Based Mitigation of Interest Flooding Attack. - Naveen Kumar 013; Ashutosh Kumar Singh 002; Shashank Srivastava (SN Comput. Sci., 2025)

A Causal Lens for Evaluating Faithfulness Metrics. - Kerem Zaman; Shashank Srivastava (CoRR, 2025)

List Decoding Expander-Based Codes up to Capacity in Near-Linear Time. - Shashank Srivastava; Madhur Tulsiani (CoRR, 2025)

MarginSel : Max-Margin Demonstration Selection for LLMs. - Rajeev Bhatt Ambati; James C. Lester; Shashank Srivastava; Snigdha Chaturvedi (CoRR, 2025)

Algorithmic Improvements to List Decoding of Folded Reed-Solomon Codes. - Vikrant Ashvinkumar; Mursalin Habib; Shashank Srivastava (CoRR, 2025)