Cover Image

KeTS: Kernel-based Trust Segmentation against Model Poisoning Attacks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gangwal, Ankit, Conti, Mauro, Pauselli, Tommaso
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

De-authentication using Ambient Light Sensor
by: Gangwal, Ankit, et al.
Published: (2023)

CSUM: A Novel Mechanism for Updating CubeSat while Preserving Authenticity and Integrity
by: Gangwal, Ankit, et al.
Published: (2024)

PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction
by: Wadekar, Prajas, et al.
Published: (2026)

Strengthening security and noise resistance in one-way quantum key distribution protocols through hypercube-based quantum walks
by: Polzoni, David, et al.
Published: (2026)

WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems
by: M., Sameera K., et al.
Published: (2025)

Your Car Tells Me Where You Drove: A Novel Path Inference Attack via CAN Bus and OBD-II Data
by: Bianchi, Tommaso, et al.
Published: (2024)

Leaky Batteries: A Novel Set of Side-Channel Attacks on Electric Vehicles
by: Marchiori, Francesco, et al.
Published: (2025)

Offensive AI: Enhancing Directory Brute-forcing Attack with the Use of Language Models
by: Castagnaro, Alberto, et al.
Published: (2024)

Poisoning the Pixels: Revisiting Backdoor Attacks on Semantic Segmentation
by: Zhang, Guangsheng, et al.
Published: (2026)

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

Inference Attacks on Encrypted Online Voting via Traffic Analysis
by: Belousova, Anastasiia, et al.
Published: (2025)

Towards a Self-rescuing System for UAVs Under GNSS Attack
by: Rigoni, Giulio, et al.
Published: (2024)

Denial-of-Service Poisoning Attacks against Large Language Models
by: Gao, Kuofeng, et al.
Published: (2024)

Work-in-Progress: Crash Course: Can (Under Attack) Autonomous Driving Beat Human Drivers?
by: Marchiori, Francesco, et al.
Published: (2024)

SoK: Stealing Cars Since Remote Keyless Entry Introduction and How to Defend From It
by: Bianchi, Tommaso, et al.
Published: (2025)

Defending against Data Poisoning Attacks in Federated Learning via User Elimination
by: Galanis, Nick
Published: (2024)

LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy
by: Sun, Xinyue, et al.
Published: (2024)

FedCC: Robust Federated Learning against Model Poisoning Attacks
by: Jeong, Hyejun, et al.
Published: (2022)

Acoustic Side-Channel Attacks on a Computer Mouse
by: Conti, Mauro, et al.
Published: (2025)

IndirectAD: Practical Data Poisoning Attacks against Recommender Systems for Item Promotion
by: Wang, Zihao, et al.
Published: (2025)

EmoBack: Backdoor Attacks Against Speaker Identification Using Emotional Prosody
by: Schoof, Coen, et al.
Published: (2024)

Label Inference Attacks against Node-level Vertical Federated GNNs
by: Arazzi, Marco, et al.
Published: (2023)

GENIE: Watermarking Graph Neural Networks for Link Prediction
by: Bachina, Venkata Sai Pranav, et al.
Published: (2024)

Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks
by: Liu, Shijie, et al.
Published: (2023)

PoisonCatcher: Revealing and Identifying LDP Poisoning Attacks in IIoT
by: Shuai, Lisha, et al.
Published: (2024)

Low Rank Comes with Low Security: Gradient Assembly Poisoning Attacks against Distributed LoRA-based LLM Systems
by: Dong, Yueyan, et al.
Published: (2026)

Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks
by: Nowroozi, Ehsan, et al.
Published: (2024)

Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM
by: Yu, Lei, et al.
Published: (2025)

Differential Area Analysis for Ransomware: Attacks, Countermeasures, and Limitations
by: Venturini, Marco, et al.
Published: (2023)

Misleading Large Language Models used (or misused) in Scientific Peer-Reviewing via Hidden Prompt-Injection Attacks
by: Collu, Matteo Gioele, et al.
Published: (2025)

Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
by: Sun, Shihua, et al.
Published: (2024)

Sharpness-Aware Data Poisoning Attack
by: He, Pengfei, et al.
Published: (2023)

Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures
by: Yu, Yonghao, et al.
Published: (2024)

Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
by: Yuan, Danni, et al.
Published: (2023)

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

Exploiting AI for Attacks: On the Interplay between Adversarial AI and Offensive AI
by: Schröer, Saskia Laura, et al.
Published: (2025)

Cross-Service Token: Finding Attacks in 5G Core Networks
by: Chen, Anqi, et al.
Published: (2025)

CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems
by: Marchiori, Francesco, et al.
Published: (2024)

Practical Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)

Secure Retrieval-Augmented Generation against Poisoning Attacks
by: Cheng, Zirui, et al.
Published: (2025)