On noise-enhanced distributed inference in the presence of Byzantines. - Mukul Gagrani; Pranay Sharma; Satish G. Iyengar; V. Sriram Siddhardh Nadendla; Aditya Vempaty; Hao Chen 001; Pramod K. Varshney (Allerton, 2011)

Minimax games for cooperative spectrum sensing in a centralized cognitive radio network in the presence of interferers. - V. Sriram Siddhardh Nadendla; Hao Chen 001; Pramod K. Varshney (MILCOM, 2011)

Secure detection in wireless sensor networks using a simple encryption method. - Mort Naraghi-Pour; Venkata Sriram Siddhardh Nadendla (WCNC, 2011)

An auction-based mechanism for dynamic spectrum allocation in participatory cognitive radio networks. - V. Sriram Siddhardh Nadendla; Swastik Brahma; Pramod K. Varshney (Allerton Conference, 2012)

A bilateral-market based mechanism for spectrum allocation in cognitive radio networks. - V. Sriram Siddhardh Nadendla; Swastik Brahma; Pramod K. Varshney (CAMSAP, 2013)

Further results on noise-enhanced distributed inference in the presence of Byzantines. - Aditya Vempaty; V. Sriram Siddhardh Nadendla; Pramod K. Varshney (WPMC, 2013)

On ARQ-based wireless communication systems in the presence of a strategic jammer. - Raghed El-Bardan; V. Sriram Siddhardh Nadendla; Swastik Brahma; Pramod K. Varshney (GlobalSIP, 2014)

Optimal Auction Mechanism for Spectrum Allocation in Cognitive Radio Networks under Uncertain Spectrum Availability. - V. Sriram Siddhardh Nadendla; Swastik Brahma; Pramod K. Varshney (CoRR, 2014)

Distributed Inference With M-Ary Quantized Data in the Presence of Byzantine Attacks. - V. Sriram Siddhardh Nadendla; Yunghsiang S. Han; Pramod K. Varshney (IEEE Trans. Signal Process., 2014)

Design of transmit-diversity schemes in detection networks under secrecy constraints. - V. Sriram Siddhardh Nadendla; Sijia Liu 001; Pramod K. Varshney (Allerton, 2015)

Information-dispersal games for security in cognitive-radio networks. - V. Sriram Siddhardh Nadendla; Yunghsiang Sam Han; Pramod K. Varshney (ISIT, 2015)

Distributed inference in the presence of eavesdroppers: a survey. - Bhavya Kailkhura; V. Sriram Siddhardh Nadendla; Pramod K. Varshney (IEEE Commun. Mag., 2015)

Towards the design of prospect-theory based human decision rules for hypothesis testing. - V. Sriram Siddhardh Nadendla; Swastik Brahma; Pramod K. Varshney (Allerton, 2016)

Design of Binary Quantizers for Distributed Detection Under Secrecy Constraints. - V. Sriram Siddhardh Nadendla; Pramod K. Varshney (IEEE Trans. Signal Process., 2016)

Strategic communication between prospect theoretic agents over a Gaussian test channel. - Venkata Sriram Siddhardh Nadendla; Emrah Akyol; Cedric Langbort; Tamer Basar (MILCOM, 2017)

On Strategic Multi-Antenna Jamming in Centralized Detection Networks. - Venkata Sriram Siddhardh Nadendla; Vinod Sharma; Pramod K. Varshney (IEEE Signal Process. Lett., 2017)

Optimal Spectrum Auction Design With 2-D Truthful Revelations Under Uncertain Spectrum Availability. - V. Sriram Siddhardh Nadendla; Swastik K. Brahma; Pramod K. Varshney (IEEE/ACM Trans. Netw., 2017)

On estimating multi-attribute choice preferences using private signals and matrix factorization. - Venkata Sriram Siddhardh Nadendla; Cedric Langbort (CISS, 2018)

Effects of Subjective Biases on Strategic Information Transmission. - Venkata Sriram Siddhardh Nadendla; Cedric Langbort; Tamer Basar (IEEE Trans. Commun., 2018)

Three-Dimensional Matching based Resource Provisioning for the Design of Low-Latency Heterogeneous IoT Networks. - Ajay Pratap; Federico Concone; Venkata Sriram Siddhardh Nadendla; Sajal K. Das 001 (MSWiM, 2019)

On Maximizing Task Throughput in IoT-Enabled 5G Networks Under Latency and Bandwidth Constraints. - Ajay Pratap; Ragini Gupta; Venkata Sriram Siddhardh Nadendla; Sajal K. Das 001 (SMARTCOMP, 2019)

On Stackelberg Signaling and its Impact on Receiver's Trust in Personalized Recommender Systems. - Doris E. M. Brown; Venkata Sriram Siddhardh Nadendla (CoRR, 2020)

A Difficulty in Controlling Blockchain Mining Costs via Cryptopuzzle Difficulty. - Venkata Sriram Siddhardh Nadendla; Lav R. Varshney (CoRR, 2020)

On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion. - Mukund Telukunta; Venkata Sriram Siddhardh Nadendla (CoRR, 2020)

Bandwidth-constrained task throughput maximization in IoT-enabled 5G networks. - Ajay Pratap; Ragini Gupta; Venkata Sriram Siddhardh Nadendla; Sajal K. Das 001 (Pervasive Mob. Comput., 2020)

A Predicament in Securing Blockchain Consensus via Controlling Cryptopuzzle Difficulty. - Venkata Sriram Siddhardh Nadendla; Lav R. Varshney (IEEE ICBC, 2021)

Influence Spread Control in Complex Networks via Removal of Feed Forward Loops. - Satyaki Roy; Prithwiraj Roy; Venkata Sriram Siddhardh Nadendla; Sajal K. Das 001 (ICCCN, 2021)

On the Design of Strategic Task Recommendations for Sustainable Crowdsourcing-Based Content Moderation. - Sainath Sanga; Venkata Sriram Siddhardh Nadendla (CoRR, 2021)

Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions. - Mukund Telukunta; Venkata Sriram Siddhardh Nadendla (CoRR, 2021)

Strategic Mitigation of Agent Inattention in Drivers with Open-Quantum Cognition Models. - Qizi Zhang; Venkata Sriram Siddhardh Nadendla; S. N. Balakrishnan; Jerome R. Busemeyer (CoRR, 2021)

Online-Learning Deep Neuro-Adaptive Dynamic Inversion Controller for Model Free Control. - Nathan Lutes; K. Krishnamurthy; Venkata Sriram Siddhardh Nadendla; S. N. Balakrishnan (CoRR, 2021)

Maximizing Social Welfare in Selfish Multi-Modal Routing using Strategic Information Design for Quantal Response Travelers. - Sainath Sanga; Venkata Sriram Siddhardh Nadendla; Sajal K. Das 001 (CoRR, 2021)

On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers. - Mukund Telukunta; Venkata Sriram Siddhardh Nadendla (CoRR, 2022)

Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram. - Nathan Lutes; Venkata Sriram Siddhardh Nadendla; K. Krishnamurthy (CoRR, 2022)

Towards a Domain-Agnostic Knowledge Graph-as-a-Service Infrastructure for Active Cyber Defense with Intelligent Agents. - Prasad Calyam; Mayank Kejriwal; Praveen Rao 001; Jianlin Cheng; Weichao Wang; Linquan Bai; V. Sriram Siddhardh Nadendla; Sanjay Madria; Sajal K. Das 001; Rohit Chadha; Khaza Anuarul Hoque; Kannappan Palaniappan; et al. (AIPR, 2023)

A Reputation System for Distributed Intelligent Blockchain Decision-Making. - Charles C. Rawlins; Sarangapani Jagannathan; Venkata Sriram Siddhardh Nadendla (BCCA, 2023)

Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-expert Stakeholders. - Mukund Telukunta; Venkata Sriram Siddhardh Nadendla (PKDD/ECML Workshops (1), 2023)

Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement. - Mukund Telukunta; Sukruth Rao; Gabriella Stickney; Venkata Sriram Siddhardh Nadendla; Casey Canfield (CHIL, 2024)

On Countering Ransomware Attacks Using Strategic Deception. - Roshan Lal Neupane; Bishnu Bhusal; Kiran Neupane; Preyea Regmi; Tam Dinh; Lilliana Marrero; Sayed M. Saghaian N. E.; Venkata Sriram Siddhardh Nadendla; Prasad Calyam (GameSec, 2024)

TASR: A Novel Trust-Aware Stackelberg Routing Algorithm to Mitigate Traffic Congestion. - Doris E. M. Brown; Venkata Sriram Siddhardh Nadendla; Sajal K. Das 001 (SMARTCOMP, 2024)

Driver Fatigue Prediction using Randomly Activated Neural Networks for Smart Ridesharing Platforms. - Sree Pooja Akula; Mukund Telukunta; Venkata Sriram Siddhardh Nadendla (CoRR, 2024)

Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware. - Nathan Lutes; Venkata Sriram Siddhardh Nadendla; K. Krishnamurthy (CoRR, 2024)

A Reputation System for Provably-Robust Decision Making in IoT Blockchain Networks. - Charles C. Rawlins; Sarangapani Jagannathan; Venkata Sriram Siddhardh Nadendla (IEEE Internet Things J., 2024)

Iterative Recommendations Based on Monte Carlo Sampling and Trust Estimation in Multi-Stage Vehicular Traffic Routing Games. - Doris E. M. Brown; Venkata Sriram Siddhardh Nadendla; Sajal K. Das 001 (SMARTCOMP, 2025)

Fairness Perceptions in Regression-based Predictive Models. - Mukund Telukunta; Venkata Sriram Siddhardh Nadendla; Morgan Stuart; Casey Canfield (CoRR, 2025)