6 citations · 10 across the 10 of their papers we have counts for
11 papers
Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA
Shaswata Mitra, Subash Neupane, Trisha Chakraborty +4
Large Language Models (LLMs) are increasingly fine-tuned for critical-domain Question-Answering (QA), yet choosing which small model to adapt, before paying the cost of adaptation,…
Softening the Impact of Collisions in Contention Resolution
Umesh Biswas, Trisha Chakraborty, Maxwell Young
Contention resolution addresses the problem of coordinating access to a shared communication channel. Time is discretized into synchronized slots, and a packet can be sent in any s…
A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics
Ivan A. Fernandez, Subash Neupane, Trisha Chakraborty +5
Industry 4.0 has witnessed the rise of complex robots fueled by the integration of Artificial Intelligence/Machine Learning (AI/ML) and Digital Twin (DT) technologies. While these…
A Survey on Adversarial Contention Resolution
Ioana Banicescu, Trisha Chakraborty, Seth Gilbert +1
Contention resolution addresses the challenge of coordinating access by multiple processes to a shared resource such as memory, disk storage, or a communication channel. Originally…
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra, Trisha Chakraborty, Subash Neupane +2
In an increasingly interconnected world, where information is the lifeblood of modern society, regular cyber-attacks sabotage the confidentiality, integrity, and availability of di…
LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge
Shaswata Mitra, Subash Neupane, Trisha Chakraborty +4
Security Operations Center (SoC) analysts gather threat reports from openly accessible global threat repositories and tailor the information to their organization's needs, such as…
Defending Hash Tables from Subterfuge with Depth Charge
Trisha Chakraborty, Jared Saia, Maxwell Young
We consider the problem of defending a hash table against a Byzantine attacker that is trying to degrade the performance of query, insertion and deletion operations. Our defense ma…
CAPoW: Context-Aware AI-Assisted Proof of Work based DDoS Defense
Trisha Chakraborty, Shaswata Mitra, Sudip Mittal
Critical servers can be secured against distributed denial of service (DDoS) attacks using proof of work (PoW) systems assisted by an Artificial Intelligence (AI) that learns conte…
Bankrupting DoS Attackers
Trisha Chakraborty, Abir Islam, Valerie King +3
Can we make a denial-of-service attacker pay more than the server and honest clients? Consider a model where a server sees a stream of jobs sent by either honest clients or an adve…
A Policy Driven AI-Assisted PoW Framework
Trisha Chakraborty, Shaswata Mitra, Sudip Mittal +1
Proof of Work (PoW) based cyberdefense systems require incoming network requests to expend effort solving an arbitrary mathematical puzzle. Current state of the art is unable to di…
Windowed Backoff Algorithms for WiFi: Theory and Performance under Batched Arrivals
William C. Anderton, Trisha Chakraborty, Maxwell Young
Binary exponential backoff (BEB) is a decades-old algorithm for coordinating access to a shared channel. In modern networks, BEB plays an important role in WiFi (IEEE 802.11) and o…