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ORCIDVahid Behzadan
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Journal Articles
- 2021
[j3]Dalton A. Hahn, Arslan Munir
, Vahid Behzadan:
Security and Privacy Issues in Intelligent Transportation Systems: Classification and Challenges. IEEE Intell. Transp. Syst. Mag. 13(1): 181-196 (2021)- [j2]Vahid Behzadan, Arslan Munir:
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles. IEEE Intell. Transp. Syst. Mag. 13(2): 236-241 (2021) - 2016
- [j1]Suman Bhunia, Vahid Behzadan, Paulo Alexandre Regis, Shamik Sengupta:
Adaptive beam nulling in multihop ad hoc networks against a jammer in motion. Comput. Networks 109: 50-66 (2016)
Conference and Workshop Papers
- 2024
- [c27]Nancirose Piazza, Bibek Upadhayay, Ronald Scarpa, Vahid Behzadan:
Large Language Models for Automatic Standardization of Cyber Deception Plans based on the Adversary Engagement Ontology. MILCOM 2024: 1-5 - 2023
- [c26]Nancirose Piazza, Vahid Behzadan:
A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication. AAMAS 2023: 2842-2844 - [c25]Bibek Upadhayay, Vahid Behzadan:
Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events. SMC 2023: 3061-3066 - 2022
- [c24]Bibek Upadhayay, Vahid Behzadan:
Hybrid Deep Learning Model for Fake News Detection in Social Networks (Student Abstract). AAAI 2022: 13067-13068 - [c23]Pooya Tavallali, Vahid Behzadan, Azar Alizadeh, Aditya Ranganath, Mukesh Singhal:
Adversarial Label-Poisoning Attacks and Defense for General Multi-Class Models Based on Synthetic Reduced Nearest Neighbor. ICIP 2022: 3717-3722 - [c22]Azar Alizadeh, Mukesh Singhal, Vahid Behzadan, Pooya Tavallali, Aditya Ranganath:
Stochastic Induction of Decision Trees with Application to Learning Haar Trees. ICMLA 2022: 825-830 - [c21]Azar Alizadeh, Pooya Tavallali, Vahid Behzadan, Aditya Ranganath, Mukesh Singhal:
A Novel Approach for Synthetic Reduced Nearest-Neighbor Leveraging Neural Networks. ICMLA 2022: 831-836 - 2021
- [c20]Milan Zinzuvadiya, Vahid Behzadan:
State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract). AAAI 2021: 15953-15954 - [c19]Bibek Upadhayay, Zeeshan Ahmed M. Lodhia, Vahid Behzadan:
Combating Human Trafficking via Automatic OSINT Collection, Validation and Fusion. ICWSM Workshops 2021 - [c18]Avishek Bose, Shreya Gopal Sundari, Vahid Behzadan, William H. Hsu:
Tracing Relevant Twitter Accounts Active in Cyber Threat Intelligence Domain by Exploiting Content and Structure of Twitter Network. ISI 2021: 1-6 - 2020
- [c17]Vahid Behzadan, Ibrahim M. Baggili:
Founding The Domain of AI Forensics. SafeAI@AAAI 2020: 31-35 - [c16]Bibek Upadhayay, Vahid Behzadan:
Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification. ISI 2020: 1-6 - 2019
- [c15]Vahid Behzadan, Roman V. Yampolskiy, Arslan Munir:
Emergence of Addictive Behaviors in Reinforcement Learning Agents. SafeAI@AAAI 2019 - [c14]Vahid Behzadan, James Minton, Arslan Munir:
TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles. AIES 2019: 391-395 - [c13]Avishek Bose, Vahid Behzadan, Carlos A. Aguirre, William H. Hsu:
A novel approach for detection and ranking of trendy and emerging cyber threat events in Twitter streams. ASONAM 2019: 871-878 - [c12]Vahid Behzadan, William H. Hsu:
Adversarial Exploitation of Policy Imitation. AISafety@IJCAI 2019 - [c11]Vahid Behzadan, William H. Hsu:
Watermarking of DRL Policies with Sequential Triggers. AISafety@IJCAI 2019 - [c10]Vahid Behzadan, William H. Hsu:
RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies. SAFECOMP Workshops 2019: 314-325 - 2018
- [c9]Vahid Behzadan, Carlos A. Aguirre, Avishek Bose, William H. Hsu:
Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream. IEEE BigData 2018: 5002-5007 - [c8]Vahid Behzadan, Arslan Munir:
Adversarial Exploitation of Emergent Dynamics in Smart Cities. ISC2 2018: 1-8 - [c7]Vahid Behzadan, Arslan Munir:
Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise. SAFECOMP Workshops 2018: 406-417 - [c6]Vahid Behzadan, Arslan Munir, Roman V. Yampolskiy:
A Psychopathological Approach to Safety Engineering in AI and AGI. SAFECOMP Workshops 2018: 513-520 - 2017
- [c5]Vahid Behzadan, Amin Nourmohammadi, Mehmet Hadi Gunes, Murat Yuksel:
On Fighting Fire with Fire: Strategic Destabilization of Terrorist Networks. ASONAM 2017: 1120-1127 - [c4]Vahid Behzadan, Banafsheh Rekabdar:
A Game-Theoretic Model for Analysis and Design of Self-organization Mechanisms in IoT. GAMENETS 2017: 74-85 - [c3]Vahid Behzadan, Arslan Munir:
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks. MLDM 2017: 262-275 - 2015
- [c2]Suman Bhunia, Vahid Behzadan, Paulo Alexandre Regis, Shamik Sengupta:
Performance of Adaptive Beam Nulling in Multihop Ad-Hoc Networks under Jamming. HPCC/CSS/ICESS 2015: 1236-1241 - [c1]Suman Bhunia, Vahid Behzadan, Shamik Sengupta:
Enhancement of spectrum utilization in non-contiguous DSA with online defragmentation. MILCOM 2015: 432-437
Informal and Other Publications
- 2024
- [i27]Nancirose Piazza, Vahid Behzadan, Stefan Sarkadi:
The Power in Communication: Power Regularization of Communication for Autonomy in Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2404.06387 (2024) - [i26]Bibek Upadhayay, Vahid Behzadan:
Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs. CoRR abs/2404.07242 (2024) - [i25]Bibek Upadhayay, Vahid Behzadan, Amin Karbasi:
Cognitive Overload Attack:Prompt Injection for Long Context. CoRR abs/2410.11272 (2024) - 2023
- [i24]Nancirose Piazza, Vahid Behzadan:
A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication. CoRR abs/2302.07176 (2023) - [i23]Bibek Upadhayay, Vahid Behzadan:
TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes. CoRR abs/2311.10797 (2023) - 2022
- [i22]Bibek Upadhayay, Vahid Behzadan:
Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events. CoRR abs/2211.10033 (2022) - 2021
- [i21]Pooya Tavallali, Vahid Behzadan, Peyman Tavallali, Mukesh Singhal:
Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors. CoRR abs/2102.05867 (2021) - [i20]Nancirose Piazza, Vahid Behzadan:
Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP). CoRR abs/2109.14678 (2021) - 2020
- [i19]Bibek Upadhayay, Vahid Behzadan:
Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification. CoRR abs/2009.01047 (2020) - [i18]Yaser Faghan, Nancirose Piazza, Vahid Behzadan, Ali Fathi:
Adversarial Attacks on Deep Algorithmic Trading Policies. CoRR abs/2010.11388 (2020) - 2019
- [i17]Vahid Behzadan, William H. Hsu:
RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies. CoRR abs/1906.01110 (2019) - [i16]Vahid Behzadan, William H. Hsu:
Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE). CoRR abs/1906.01119 (2019) - [i15]Vahid Behzadan, William H. Hsu:
Adversarial Exploitation of Policy Imitation. CoRR abs/1906.01121 (2019) - [i14]Vahid Behzadan, William H. Hsu:
Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies. CoRR abs/1906.01126 (2019) - [i13]Avishek Bose, Vahid Behzadan, Carlos A. Aguirre, William H. Hsu:
A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams. CoRR abs/1907.07768 (2019) - [i12]Ibrahim M. Baggili, Vahid Behzadan:
Founding The Domain of AI Forensics. CoRR abs/1912.06497 (2019) - 2018
- [i11]Vahid Behzadan, Arslan Munir, Roman V. Yampolskiy:
A Psychopathological Approach to Safety Engineering in AI and AGI. CoRR abs/1805.08915 (2018) - [i10]Vahid Behzadan, Arslan Munir:
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles. CoRR abs/1806.01368 (2018) - [i9]Vahid Behzadan, Arslan Munir:
Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise. CoRR abs/1806.02190 (2018) - [i8]Vahid Behzadan, Arslan Munir:
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning. CoRR abs/1810.10369 (2018) - [i7]Vahid Behzadan, Roman V. Yampolskiy, Arslan Munir:
Emergence of Addictive Behaviors in Reinforcement Learning Agents. CoRR abs/1811.05590 (2018) - [i6]Vahid Behzadan, James Minton, Arslan Munir:
TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles. CoRR abs/1811.05594 (2018) - 2017
- [i5]Vahid Behzadan, Arslan Munir:
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks. CoRR abs/1701.04143 (2017) - [i4]Vahid Behzadan, Banafsheh Rekabdar:
A Game-Theoretic Model for Analysis and Design of Self-Organization Mechanisms in IoT. CoRR abs/1701.04562 (2017) - [i3]Vahid Behzadan:
Cyber-Physical Attacks on UAS Networks- Challenges and Open Research Problems. CoRR abs/1702.01251 (2017) - [i2]Vahid Behzadan, Arslan Munir:
Models and Framework for Adversarial Attacks on Complex Adaptive Systems. CoRR abs/1709.04137 (2017) - [i1]Vahid Behzadan, Arslan Munir:
Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger. CoRR abs/1712.09344 (2017)
Coauthor Index
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