Cover Image

Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Labib, S. M. Fazle Rabby, Mondal, Joyanta Jyoti, Manab, Meem Arafat, Xiao, Xi, Newaz, Sarfaraz
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Revisiting DeepFool: generalization and improvement
by: Abdollahpoorrostam, Alireza, et al.
Published: (2023)

Eternal Sunshine of the Mechanical Mind: The Irreconcilability of Machine Learning and the Right to be Forgotten
by: Manab, Meem Arafat
Published: (2024)

Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network
by: Mondal, Joyanta Jyoti, et al.
Published: (2023)

TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models
by: Rakib, Mazharul Islam, et al.
Published: (2025)

Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia
by: Hassan, Ibne, et al.
Published: (2024)

Multilevel Determinants of Overweight and Obesity Among U.S. Children Aged 10-17: Comparative Evaluation of Statistical and Machine Learning Approaches Using the 2021 National Survey of Children's Health
by: Mondal, Joyanta Jyoti
Published: (2026)

Involution Fused ConvNet for Classifying Eye-Tracking Patterns of Children with Autism Spectrum Disorder
by: Islam, Md. Farhadul, et al.
Published: (2024)

Med-IC: Fusing a Single Layer Involution with Convolutions for Enhanced Medical Image Classification and Segmentation
by: Islam, Md. Farhadul, et al.
Published: (2024)

BadImplant: Injection-based Multi-Targeted Graph Backdoor Attack
by: Khan, Md Nabi Newaz, et al.
Published: (2026)

Spatially Optimized Compact Deep Metric Learning Model for Similarity Search
by: Islam, Md. Farhadul, et al.
Published: (2024)

MiniFool -- Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks
by: Flek, Lucie, et al.
Published: (2025)

Fooling Neural Networks for Motion Forecasting via Adversarial Attacks
by: Medina, Edgar, et al.
Published: (2024)

DAOnt: A Formal Ontology for EU Data Act Compliance
by: Leyva-Sánchez, Sheyla, et al.
Published: (2026)

One Surrogate to Fool Them All: Universal, Transferable, and Targeted Adversarial Attacks with CLIP
by: Xu, Binyan, et al.
Published: (2025)

Fooling the Decoder: An Adversarial Attack on Quantum Error Correction
by: Lenssen, Jerome, et al.
Published: (2025)

A Deep Learning Approach to Predict the Fall [of Price] of Cryptocurrency Long Before its Actual Fall
by: Meem, Anika Tahsin
Published: (2024)

E2CB2former: Effecitve and Explainable Transformer for CB2 Receptor Ligand Activity Prediction
by: Xie, Jiacheng, et al.
Published: (2025)

BadSNN: Backdoor Attacks on Spiking Neural Networks via Adversarial Spiking Neuron
by: Miah, Abdullah Arafat, et al.
Published: (2026)

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
by: Bai, Fengshuo, et al.
Published: (2024)

LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model
by: Cao, Yuxin, et al.
Published: (2024)

Fool the Stoplight: Realistic Adversarial Patch Attacks on Traffic Light Detectors
by: Pavlitska, Svetlana, et al.
Published: (2025)

Baitradar: A Multi-Model Clickbait Detection Algorithm Using Deep Learning
by: Gamage, Bhanuka, et al.
Published: (2025)

Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs
by: Chen, Zihui, et al.
Published: (2026)

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation
by: Lazebnik, Teddy, et al.
Published: (2025)

Mirage Fools the Ear, Mute Hides the Truth: Precise Targeted Adversarial Attacks on Polyphonic Sound Event Detection Systems
by: Su, Junjie, et al.
Published: (2025)

StyleFool: Fooling Video Classification Systems via Style Transfer
by: Cao, Yuxin, et al.
Published: (2022)

Non-Uniform Illumination Attack for Fooling Convolutional Neural Networks
by: Jain, Akshay, et al.
Published: (2024)

Experimental Comparison of Light-Weight and Deep CNN Models Across Diverse Datasets
by: Papon, Md. Hefzul Hossain, et al.
Published: (2026)

FeatureFool: Zero-Query Fooling of Video Models via Feature Map
by: Tang, Duoxun, et al.
Published: (2025)

Fooling SHAP with Output Shuffling Attacks
by: Yuan, Jun, et al.
Published: (2024)

Catalytic Hydrogenation of CO2 by Direct Air Capture to Valuable C1 Products Using Homogenous Catalysts
by: Ritu Bhardwaj, et al.
Published: (2025)

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images
by: Newaz, Asif, et al.
Published: (2025)

Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
by: Simonetto, Thibault, et al.
Published: (2024)

MPAT: Building Robust Deep Neural Networks against Textual Adversarial Attacks
by: Zhang, Fangyuan, et al.
Published: (2024)

How Deep Does Your Dependency Tree Go? An Empirical Study of Dependency Amplification Across 10 Package Ecosystems
by: Arafat, Jahidul
Published: (2025)

Rethinking Targeted Adversarial Attacks For Neural Machine Translation
by: Wu, Junjie, et al.
Published: (2024)

RAFT: Realistic Attacks to Fool Text Detectors
by: Wang, James, et al.
Published: (2024)

Distributional Adversarial Attacks and Training in Deep Hedging
by: He, Guangyi, et al.
Published: (2025)

Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks
by: Yu, Seunguk, et al.
Published: (2024)

Algorithms for Adversarially Robust Deep Learning
by: Robey, Alexander
Published: (2025)