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02/14/2023
A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication
Multi-Agent Systems (MAS) is the study of multi-agent interactions in a ...
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11/18/2022
Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events
Machine learning models are known to be vulnerable to adversarial pertur...
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09/29/2021
Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP)
Deep reinforcement learning (DRL) policies are vulnerable to unauthorize...
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02/11/2021
Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors
State-of-the-art machine learning models are vulnerable to data poisonin...
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10/22/2020
Adversarial Attacks on Deep Algorithmic Trading Policies
Deep Reinforcement Learning (DRL) has become an appealing solution to al...
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09/01/2020
Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification
The rampant integration of social media in our every day lives and cultu...
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12/11/2019
Founding The Domain of AI Forensics
With the widespread integration of AI in everyday and critical technolog...
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07/12/2019
A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams
We present a new machine learning and text information extraction approa...
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06/03/2019
Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies
This paper proposes a novel scheme for the watermarking of Deep Reinforc...
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06/03/2019
Adversarial Exploitation of Policy Imitation
This paper investigates a class of attacks targeting the confidentiality...
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06/03/2019
Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE)
This paper investigates the effectiveness of adversarial training in enh...
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06/03/2019
RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies
This paper investigates the resilience and robustness of Deep Reinforcem...
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11/14/2018
TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles
This paper presents TrolleyMod v1.0, an open-source platform based on th...
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11/14/2018
Emergence of Addictive Behaviors in Reinforcement Learning Agents
This paper presents a novel approach to the technical analysis of wirehe...
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10/23/2018
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning
Since the inception of Deep Reinforcement Learning (DRL) algorithms, the...
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06/04/2018
Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise
Recent developments have established the vulnerability of deep reinforce...
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06/04/2018
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles
With the rapidly growing interest in autonomous navigation, the body of ...
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05/23/2018
A Psychopathological Approach to Safety Engineering in AI and AGI
The complexity of dynamics in AI techniques is already approaching that ...
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12/23/2017
Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger
Recent developments have established the vulnerability of deep Reinforce...
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09/13/2017
Models and Framework for Adversarial Attacks on Complex Adaptive Systems
We introduce the paradigm of adversarial attacks that target the dynamic...
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01/16/2017