:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Abdeen, Zain ul, Roy, Padmaksha, Al-Tawaha, Ahmad, Jia, Rouxi, Freeman, Laura, Beling, Peter, Liu, Chen-Ching, Sangiovanni-Vincentelli, Alberto, Jin, Ming
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Systems and Control
Online Access:	https://arxiv.org/abs/2405.02989
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Parameter Stress Analysis in Reinforcement Learning: Applying Synaptic Filtering to Policy Networks
by: Abdeen, Zain ul, et al.
Published: (2025)

A Scalable Approach for Safe and Robust Learning via Lipschitz-Constrained Networks
by: Abdeen, Zain ul, et al.
Published: (2025)

Toward Adaptive Grid Resilience: A Gradient-Free Meta-RL Framework for Critical Load Restoration
by: Abdeen, Zain ul, et al.
Published: (2026)

Beating Backdoor Attack at Its Own Game
by: Liu, Min, et al.
Published: (2023)

A Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data
by: Roy, Padmaksha
Published: (2023)

Beyond Marginals: Learning Joint Spatio-Temporal Patterns for Multivariate Anomaly Detection
by: Roy, Padmaksha, et al.
Published: (2025)

Finite-Time Markov-Parameter Identification of LTI Systems Using Non-Causal FIR Models: A Unified Framework for Stable and Unstable Systems
by: Al-Tawaha, Ahmad, et al.
Published: (2026)

Cloud Revolution: Tracing the Origins and Rise of Cloud Computing
by: Gurung, Deepa, et al.
Published: (2025)

Defense against Poisoning Attacks under Shuffle-DP
by: Wang, Siyi, et al.
Published: (2026)

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models
by: Sel, Bilgehan, et al.
Published: (2023)

Remembering More, Risking More: Longitudinal Safety Risks in Memory-Equipped LLM Agents
by: Al-Tawaha, Ahmad, et al.
Published: (2026)

Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning
by: Theile, Mirco, et al.
Published: (2024)

Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning
by: Theile, Mirco, et al.
Published: (2023)

Combining Large Language Models and Gradient-Free Optimization for Automatic Control Policy Synthesis
by: Bosio, Carlo, et al.
Published: (2025)

A Multi-directional Meta-Learning Framework for Class-Generalizable Anomaly Detection
by: Roy, Padmaksha, et al.
Published: (2026)

Effectiveness of Adversarial Benign and Malware Examples in Evasion and Poisoning Attacks
by: Kozák, Matouš, et al.
Published: (2025)

Monte Carlo Grid Dynamic Programming: Almost Sure Convergence and Probability Constraints
by: Ramadan, Mohammad S., et al.
Published: (2023)

Poisoning Attacks and Defenses to Federated Unlearning
by: Wang, Wenbin, et al.
Published: (2025)

IP-FL: Incentivized and Personalized Federated Learning
by: Khan, Ahmad Faraz, et al.
Published: (2023)

Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space
by: Roy, Padmaksha, et al.
Published: (2023)

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints
by: Theile, Mirco, et al.
Published: (2024)

Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning
by: Theile, Mirco, et al.
Published: (2025)

Architectural Approaches for Integrating ADMS and DERMS : Challenges, Comparisons, and Real‐World Use Cases
by: Luka Strezoski, et al.
Published: (2025)

Decoding Deception: Understanding Automatic Speech Recognition Vulnerabilities in Evasion and Poisoning Attacks
by: G, Aravindhan, et al.
Published: (2025)

DDoS Attacks in Cloud Computing: Detection and Prevention
by: Ahmad, Zain, et al.
Published: (2025)

A Data-Driven Defense against Edge-case Model Poisoning Attacks on Federated Learning
by: Purohit, Kiran, et al.
Published: (2023)

Context-Aided Variable Elimination for Requirement Engineering
by: Incer, Inigo, et al.
Published: (2023)

Granular cell tumour—A case of recurrent pneumonia due to an endobronchial lesion
by: Alwyn Mathew, et al.
Published: (2024)

Adversarial Training for Defense Against Label Poisoning Attacks
by: Bal, Melis Ilayda, et al.
Published: (2025)

Poisoning Attacks and Defenses in Recommender Systems: A Survey
by: Wang, Zongwei, et al.
Published: (2024)

Stealthy Poisoning Attacks Bypass Defenses in Regression Settings
by: Carnerero-Cano, Javier, et al.
Published: (2026)

ScenicRules: An Autonomous Driving Benchmark with Multi-Objective Specifications and Abstract Scenarios
by: Chang, Kevin Kai-Chun, et al.
Published: (2026)

Learning to Generate All Feasible Actions
by: Theile, Mirco, et al.
Published: (2023)

Adversarial Evasion Attack Efficiency against Large Language Models
by: Vitorino, João, et al.
Published: (2024)

A Critical Evaluation of Defenses against Prompt Injection Attacks
by: Jia, Yuqi, et al.
Published: (2025)

Prescribed‐time fault‐tolerant synchronization control of complex dynamical networks using time‐varying protocols
by: Zain ul Aabidin Lodhi, et al.
Published: (2024)

Memory Poisoning Attack and Defense on Memory Based LLM-Agents
by: Sunil, Balachandra Devarangadi, et al.
Published: (2026)

SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning
by: Zhang, Heyi, et al.
Published: (2025)

Draft-and-Prune: Improving the Reliability of Auto-formalization for Logical Reasoning
by: Ni, Zhiyu, et al.
Published: (2026)

ICL-EVADER: Zero-Query Black-Box Evasion Attacks on In-Context Learning and Their Defenses
by: He, Ningyuan, et al.
Published: (2026)