Vahid Behzadan

According to our database, Vahid Behzadan authored at least 42 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cognitive Overload Attack:Prompt Injection for Long Context.

Bibek Upadhayay, Vahid Behzadan, Amin Karbasi

CoRR, 2024

Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs.

Bibek Upadhayay, Vahid Behzadan

CoRR, 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

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

Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events.

Bibek Upadhayay, Vahid Behzadan

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication.

Nancirose Piazza, Vahid Behzadan

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

A Novel Approach for Synthetic Reduced Nearest-Neighbor Leveraging Neural Networks.

Azar Alizadeh, Pooya Tavallali, Vahid Behzadan, Aditya Ranganath, Mukesh Singhal

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Stochastic Induction of Decision Trees with Application to Learning Haar Trees.

Azar Alizadeh, Mukesh Singhal, Vahid Behzadan, Pooya Tavallali, Aditya Ranganath

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 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

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Hybrid Deep Learning Model for Fake News Detection in Social Networks (Student Abstract).

Bibek Upadhayay, Vahid Behzadan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles.

Vahid Behzadan, Arslan Munir

IEEE Intell. Transp. Syst. Mag., 2021

Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP).

Nancirose Piazza, Vahid Behzadan

CoRR, 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

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

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2021

Combating Human Trafficking via Automatic OSINT Collection, Validation and Fusion.

Bibek Upadhayay, Zeeshan Ahmed M. Lodhia, Vahid Behzadan

Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract).

Milan Zinzuvadiya, Vahid Behzadan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adversarial Attacks on Deep Algorithmic Trading Policies.

Yaser Faghan, Nancirose Piazza, Vahid Behzadan, Ali Fathi

CoRR, 2020

Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification.

Bibek Upadhayay, Vahid Behzadan

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020

Founding The Domain of AI Forensics.

Vahid Behzadan, Ibrahim M. Baggili

Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019

Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies.

Vahid Behzadan, William H. Hsu

CoRR, 2019

Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE).

Vahid Behzadan, William H. Hsu

CoRR, 2019

RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies.

Vahid Behzadan, William H. Hsu

Proceedings of the Computer Safety, Reliability, and Security, 2019

Watermarking of DRL Policies with Sequential Triggers.

Vahid Behzadan, William H. Hsu

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Adversarial Exploitation of Policy Imitation.

Vahid Behzadan, William H. Hsu

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 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

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 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

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Emergence of Addictive Behaviors in Reinforcement Learning Agents.

Vahid Behzadan, Roman V. Yampolskiy, Arslan Munir

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

2018

The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning.

Vahid Behzadan, Arslan Munir

CoRR, 2018

A Psychopathological Approach to Safety Engineering in AI and AGI.

Vahid Behzadan, Arslan Munir, Roman V. Yampolskiy

Proceedings of the Computer Safety, Reliability, and Security, 2018

Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise.

Vahid Behzadan, Arslan Munir

Proceedings of the Computer Safety, Reliability, and Security, 2018

Adversarial Exploitation of Emergent Dynamics in Smart Cities.

Vahid Behzadan, Arslan Munir

Proceedings of the IEEE International Smart Cities Conference, 2018

Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream.

Vahid Behzadan, Carlos A. Aguirre, Avishek Bose, William H. Hsu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger.

Vahid Behzadan, Arslan Munir

CoRR, 2017

Models and Framework for Adversarial Attacks on Complex Adaptive Systems.

Vahid Behzadan, Arslan Munir

CoRR, 2017

Cyber-Physical Attacks on UAS Networks- Challenges and Open Research Problems.

Vahid Behzadan

CoRR, 2017

Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks.

Vahid Behzadan, Arslan Munir

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

A Game-Theoretic Model for Analysis and Design of Self-organization Mechanisms in IoT.

Vahid Behzadan, Banafsheh Rekabdar

Proceedings of the Game Theory for Networks - 7th International EAI Conference, 2017

On Fighting Fire with Fire: Strategic Destabilization of Terrorist Networks.

Vahid Behzadan, Amin Nourmohammadi, Mehmet Hadi Gunes, Murat Yuksel

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

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

2015

Enhancement of spectrum utilization in non-contiguous DSA with online defragmentation.

Suman Bhunia, Vahid Behzadan, Shamik Sengupta

Proceedings of the 34th IEEE Military Communications Conference, 2015

Performance of Adaptive Beam Nulling in Multihop Ad-Hoc Networks under Jamming.

Suman Bhunia, Vahid Behzadan, Paulo Alexandre Regis, Shamik Sengupta

Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015