Enabling Privacy-Preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption
Cem Ata Baykara (University of Tübingen, Germany), Ali Burak Ünal (University of Tübingen, Germany), and Mete Akgün (University of Tübingen, Germany)
HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption Using Reinforcement Learning
Jiaxang Tang (University of Minnesota, USA), Zeshan Fayyaz (University of Waterloo, Canada), Mohammad A. Salahuddin (University of Waterloo, Canada), Raouf Boutaba (University of Waterloo, Canada), Zhi-Li Zhang (University of Minnesota, USA), and Ali Anwar (University of Minnesota, USA)
PPFL-RDSN: Privacy-Preserving Federated Learning-Based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction
Peilin He (University of Pittsburgh, USA) and James Joshi (University of Pittsburgh, USA)
One-Shot Secure Aggregation: A Hybrid Cryptographic Protocol for Private Federated Learning in IoT
Imraul Kayes Emmaka (University of Arkansas at Little Rock, USA) and Tran Viet Xuan Phuong (University of Arkansas at Little Rock, USA)
RBBD: A Representation-Based Framework for Edge-Case Backdoor Defense in Federated Learning
Samir Poudel (Middle Tennessee State University, TN), Kritagya Upadhyay (Middle Tennessee State University, TN), and Jiblal Upadhya (Lander University, S.C.)
Enhancing Resilience in Industrial Control Systems: Rapid Attack Detection, Recovery, and Monotonicity Preservation Through STL-GT Online Monitoring
Chidi Agbo (University of Nebraska at Kearney, USA) and Hoda Mehrpouyan (Boise State University, USA)
Robust Physically Realizable Backdoor Attack
Md Jahirul Islam (Kennesaw State University, USA) and Kazi Aminul Islam (Kennesaw State University, USA)
Fidelity-Optimizing Defense Mechanism Against Membership Inference Attacks
Md Faisal Ahmed (George Mason University) and Zhengdao Wang (George Mason University)
NatGVD: Natural Adversarial Example Attack Towards Graph-Based Vulnerability Detection
Avilash Rath (The University of Texas at Dallas), Weiliang Qi (The University of Texas at Dallas), Youpeng Li (The University of Texas at Dallas), and Xinda Wang (The University of Texas at Dallas)
Explainable but Vulnerable: Adversarial Attacks on XAI Explanation in Cybersecurity Applications
Maraz Mia (Tennessee Tech University, USA) and Mir Mehedi Ahsan Pritom (Tennessee Tech University, USA)
Anomaly Detection in Graphs via Topology-Aware Attention Mechanisms
Narges Alipourjeddi (Toronto Metropolitan University, Canada) and Ali Miri (Toronto Metropolitan University, Canada)
It’s About Time!: Exploiting Timing Variance for IoT Device-Type Fingerprinting
Maxwel Bar-on (Colorado State University, USA), Alanood Alqobaisi (Colorado State University, USA), Bruhadeshwar Bezawada (Southern Arkansas University, USA), Indrakshi Ray (Colorado State University, USA), and Indrajit Ray (Colorado State University, USA)
Data Access Control in Large Language Models
Nouha Oualha (Université Paris-Saclay, France) and Christophe Janneteau (Université Paris-Saclay, France)
Clone What You Can’t Steal: Black-Box LLM Replication via Logit Leakage and Distillation
Kanchon Gharami (Embry-Riddle Aeronautical University, USA), Hansaka Aluvihare (Embry-Riddle Aeronautical University, USA), Shafika Showkat Moni (Embry-Riddle Aeronautical University, USA), and Berker Peköz (Embry-Riddle Aeronautical University, USA)
PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction
Leon Garza (The University of Texas at El Paso, USA), Anantaa Kotal (The University of Texas at El Paso, USA), Aritran Piplai (The University of Texas at El Paso, USA), Lavanya Elluri (Texas A&M University-Central Texas, USA), Prajit Kumar Das (Cisco Systems Inc, USA), and Aman Chadha (Amazon Web Services, USA)
LLMalMorph: On The Feasibility of Generating Variant Malware Using Large-Language-Models
Md Ajwad Akil (Purdue University, USA), Adrian Shuai Li (Purdue University, USA), Imtiaz Karim (The University of Texas at Dallas, USA), Arun Iyengar (Intelligent Data Management and Analytics, LLC, USA), Ashish Kundu (Cisco Research, USA), Vinny Parla (Cisco Systems, Inc, USA), and Elisa Bertino (Purdue University, USA)
CipherBERT: A Systematic Framework for High-Accuracy Encrypted Transformer Inference
Nisarg Bhavsar (Indian Institute of Technology Kharagpur, India) and Zaid Ahmed Khan (Indian Institute of Technology Kharagpur, India)
CoDICE: Roll the DICE for Firmware Attestation
Rakesh Podder (Colorado State University, USA), Jason Simental (Colorado State University, USA), Elmaddin Azizli (Colorado State University, USA), Bharadwaj Mantha (Colorado State University, USA), and Indrajit Ray (Colorado State University, USA)
Limitations of Watermarking AI-Generated Speech Using AudioSeal
Shameer Faziludeen (University College Cork, Ireland), Arun Sankar M. S. (South East Technological University, Ireland), Phillip L. De Leon (University of Colorado Denver, USA), and Utz Roedig (University College Cork, Ireland)
Diffusion Based Face Generation via Image Editing and Image Morphing
Liyue Fan (University of North Carolina at Charlotte, USA) and Joseph Roberson (University of North Carolina at Charlotte, USA)
EDL: Efficient Data-Oblivious Loops
Biniyam Tiruye (University of Michigan, USA), Lauren Biernacki (Lafayette College, USA), and Todd Austin (University of Michigan, USA)
Decoding the Decoders: An Empirical Study of Reverse Engineering Questions on Stack Exchange
Md Rakibul Islam (Lamar University, USA), Md Humaun Kabir (Lamar University, USA), and Anwarul Islam Sifat (Lamar University, USA)
PQC-LEO: An Evaluation Framework for Post-Quantum Cryptographic Algorithms
Callum Turino (Edinburgh Napier University, UK), William J. Buchanan (Edinburgh Napier University, UK), Owen Lo (Edinburgh Napier University, UK), and Christoph Thümmler (6GHI, Germany)
Explainable AI in Data Poisoning Threat Models Across the CIA Triad: A Smart Grid Case Study
Gustavo Sánchez (Karlsruhe Institute of Technology (KIT), Germany), Ghada Elbez (Karlsruhe Institute of Technology (KIT), Germany), and Veit Hagenmeyer (Karlsruhe Institute of Technology (KIT), Germany)