Performance of Adaptive Beam Nulling in Multihop Ad-Hoc Networks under Jamming. - Suman Bhunia; Vahid Behzadan; Paulo Alexandre Regis; Shamik Sengupta (HPCC/CSS/ICESS, 2015)

Enhancement of spectrum utilization in non-contiguous DSA with online defragmentation. - Suman Bhunia; Vahid Behzadan; Shamik Sengupta (MILCOM, 2015)

Adaptive beam nulling in multihop ad hoc networks against a jammer in motion. - Suman Bhunia; Vahid Behzadan; Paulo Alexandre Regis; Shamik Sengupta (Comput. Networks, 2016)

On Fighting Fire with Fire: Strategic Destabilization of Terrorist Networks. - Vahid Behzadan; Amin Nourmohammadi; Mehmet Hadi Gunes; Murat Yuksel (ASONAM, 2017)

A Game-Theoretic Model for Analysis and Design of Self-organization Mechanisms in IoT. - Vahid Behzadan; Banafsheh Rekabdar (GAMENETS, 2017)

Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks. - Vahid Behzadan; Arslan Munir (MLDM, 2017)

Cyber-Physical Attacks on UAS Networks- Challenges and Open Research Problems. - Vahid Behzadan (CoRR, 2017)

Models and Framework for Adversarial Attacks on Complex Adaptive Systems. - Vahid Behzadan; Arslan Munir (CoRR, 2017)

Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger. - Vahid Behzadan; Arslan Munir (CoRR, 2017)

Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream. - Vahid Behzadan; Carlos A. Aguirre; Avishek Bose; William H. Hsu (IEEE BigData, 2018)

Adversarial Exploitation of Emergent Dynamics in Smart Cities. - Vahid Behzadan; Arslan Munir (ISC2, 2018)

Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise. - Vahid Behzadan; Arslan Munir (SAFECOMP Workshops, 2018)

A Psychopathological Approach to Safety Engineering in AI and AGI. - Vahid Behzadan; Arslan Munir; Roman V. Yampolskiy (SAFECOMP Workshops, 2018)

The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning. - Vahid Behzadan; Arslan Munir (CoRR, 2018)

Emergence of Addictive Behaviors in Reinforcement Learning Agents. - Vahid Behzadan; Roman V. Yampolskiy; Arslan Munir (SafeAI@AAAI, 2019)

TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles. - Vahid Behzadan; James Minton; Arslan Munir (AIES, 2019)

A novel approach for detection and ranking of trendy and emerging cyber threat events in Twitter streams. - Avishek Bose; Vahid Behzadan; Carlos A. Aguirre; William H. Hsu (ASONAM, 2019)

Adversarial Exploitation of Policy Imitation. - Vahid Behzadan; William H. Hsu (AISafety@IJCAI, 2019)

Watermarking of DRL Policies with Sequential Triggers. - Vahid Behzadan; William H. Hsu (AISafety@IJCAI, 2019)

RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies. - Vahid Behzadan; William H. Hsu (SAFECOMP Workshops, 2019)

Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE). - Vahid Behzadan; William H. Hsu (CoRR, 2019)

Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies. - Vahid Behzadan; William H. Hsu (CoRR, 2019)

Founding The Domain of AI Forensics. - Vahid Behzadan; Ibrahim M. Baggili (SafeAI@AAAI, 2020)

Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification. - Bibek Upadhayay; Vahid Behzadan (ISI, 2020)

Adversarial Attacks on Deep Algorithmic Trading Policies. - Yaser Faghan; Nancirose Piazza; Vahid Behzadan; Ali Fathi (CoRR, 2020)

State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract). - Milan Zinzuvadiya; Vahid Behzadan (AAAI, 2021)

Combating Human Trafficking via Automatic OSINT Collection, Validation and Fusion. - Bibek Upadhayay; Zeeshan Ahmed M. Lodhia; Vahid Behzadan (ICWSM Workshops, 2021)

Tracing Relevant Twitter Accounts Active in Cyber Threat Intelligence Domain by Exploiting Content and Structure of Twitter Network. - Avishek Bose; Shreya Gopal Sundari; Vahid Behzadan; William H. Hsu (ISI, 2021)

Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors. - Pooya Tavallali; Vahid Behzadan; Peyman Tavallali; Mukesh Singhal (CoRR, 2021)

Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP). - Nancirose Piazza; Vahid Behzadan (CoRR, 2021)

Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles. - Vahid Behzadan; Arslan Munir (IEEE Intell. Transp. Syst. Mag., 2021)

Security and Privacy Issues in Intelligent Transportation Systems: Classification and Challenges. - Dalton A. Hahn; Arslan Munir; Vahid Behzadan (IEEE Intell. Transp. Syst. Mag., 2021)

Hybrid Deep Learning Model for Fake News Detection in Social Networks (Student Abstract). - Bibek Upadhayay; Vahid Behzadan (AAAI, 2022)

Adversarial Label-Poisoning Attacks and Defense for General Multi-Class Models Based on Synthetic Reduced Nearest Neighbor. - Pooya Tavallali; Vahid Behzadan; Azar Alizadeh; Aditya Ranganath; Mukesh Singhal (ICIP, 2022)

Stochastic Induction of Decision Trees with Application to Learning Haar Trees. - Azar Alizadeh; Mukesh Singhal; Vahid Behzadan; Pooya Tavallali; Aditya Ranganath (ICMLA, 2022)

A Novel Approach for Synthetic Reduced Nearest-Neighbor Leveraging Neural Networks. - Azar Alizadeh; Pooya Tavallali; Vahid Behzadan; Aditya Ranganath; Mukesh Singhal (ICMLA, 2022)

A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication. - Nancirose Piazza; Vahid Behzadan (AAMAS, 2023)

Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events. - Bibek Upadhayay; Vahid Behzadan (SMC, 2023)

TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes. - Bibek Upadhayay; Vahid Behzadan (CoRR, 2023)

Large Language Models for Automatic Standardization of Cyber Deception Plans based on the Adversary Engagement Ontology. - Nancirose Piazza; Bibek Upadhayay; Ronald Scarpa; Vahid Behzadan (MILCOM, 2024)

The Power in Communication: Power Regularization of Communication for Autonomy in Cooperative Multi-Agent Reinforcement Learning. - Nancirose Piazza; Vahid Behzadan; Stefan Sarkadi (CoRR, 2024)

Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs. - Bibek Upadhayay; Vahid Behzadan (CoRR, 2024)

Cognitive Overload Attack:Prompt Injection for Long Context. - Bibek Upadhayay; Vahid Behzadan; Amin Karbasi (CoRR, 2024)

X-Guard: Multilingual Guard Agent for Content Moderation. - Bibek Upadhayay; Vahid Behzadan (CoRR, 2025)

Comparative Study of Generative Models for Early Detection of Failures in Medical Devices. - Binesh Sadanandan; Bahareh Arghavani Nobar; Vahid Behzadan (CoRR, 2025)

Promise of Data-Driven Modeling and Decision Support for Precision Oncology and Theranostics. - Binesh Sadanandan; Vahid Behzadan (CoRR, 2025)

VSF-Med:A Vulnerability Scoring Framework for Medical Vision-Language Models. - Binesh Sadanandan; Vahid Behzadan (CoRR, 2025)