7 papers
Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning
Srinivasan Subramanian, Kazi Aminul Islam, Md. Abdullah Al Hafiz Khan
Federated learning enables distributed training without requiring clients to share their raw data. However, its reliance on the integrity of the client-submitted updates exposes th…
ExecRetrieval: Measuring the Functional-Correctness Gap in Code-Embedding Retrieval
Aaryan Kapoor, Md Abdullah Al Hafiz Khan
Embedding-based code retrieval is a core component of coding agents and retrieval-augmented code generation, where retrieving correct code matters more than retrieving lexically si…
Beyond Unsafe Detection: Counterfactually Anchored Evidence Attribution for Multi-Turn LLM Safety Failures
Srinivasan Subramanian, Kazi Aminul Islam, Md. Abdullah Al Hafiz Khan
As Large Language Models (LLMs) move from conversational assistants to advanced agentic systems, guardrail failures can convert adversarial intents into harmful executions. However…
TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure
Joshua Zuniga, Srinivasan Subramanian, Ramya Madhuri Narapureddy +1
Modern cyber-physical and AI-assisted systems couple human operators, AI decision modules, and automated controllers in a single control loop, so trustworthiness depends on the who…
Bypassing Krum: Selection-Aware Backdoor Attacks in Federated Learning
Srinivasan Subramanian, Md. Abdullah Al Hafiz Khan, Kazi Aminul Islam
Robust aggregation methods are widely used in federated learning to mitigate the impact of adversarial client behavior. Distance-based aggregation rules, such as Krum and Multi-Kru…
How Does Research Evolve? Tracing Cross-Domain Trajectories in NLP, ML, and CV Through Claim-Grounded Typed Citations
Abdul Muntakim, Md Abdullah Al Hafiz Khan, Sadid Hasan +1
How does research evolve, and can we trace it at the level of individual claims? Scientific progress is not simply a uniform accumulation of facts. Existing citation graphs usually…
Brain Tumor Classifiers Under Attack: Robustness of ResNet Variants Against Transferable FGSM and PGD Attacks
Ryan Deem, Garrett Goodman, Waqas Majeed +2
Adversarial robustness in deep learning models for brain tumor classification remains an underexplored yet critical challenge, particularly for clinical deployment scenarios involv…