Cover Image

Contrasting Adversarial Perturbations: The Space of Harmless Perturbations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Lu, Li, Shaofeng, Huang, Benhao, Yang, Fan, Li, Zheng, Li, Jie, Luo, Yuan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detecting Adversarial Data using Perturbation Forgery
by: Wang, Qian, et al.
Published: (2024)

Learning Half-Spaces from Perturbed Contrastive Examples
by: Ravari, Aryan Alavi Razavi, et al.
Published: (2026)

Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space
by: Liu, Qianmei, et al.
Published: (2024)

Constrained Adversarial Perturbation
by: Nishad, Virendra, et al.
Published: (2025)

Gradient Perturbation: Learning to Perturb Gradients for Adaptive Training
by: Li, Hua
Published: (2026)

Adversarial Example Defense via Perturbation Grading Strategy
by: Zhu, Shaowei, et al.
Published: (2022)

Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs
by: Chen, Lu, et al.
Published: (2025)

Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration
by: Huang, Langlin, et al.
Published: (2026)

Optimizing the Adversarial Perturbation with a Momentum-based Adaptive Matrix
by: Tao, Wei, et al.
Published: (2025)

Unifying Adversarial Perturbation for Graph Neural Networks
by: Yang, Jinluan, et al.
Published: (2025)

Explaining Time Series via Contrastive and Locally Sparse Perturbations
by: Liu, Zichuan, et al.
Published: (2024)

Distributed Learning with Adversarial Gradient Perturbations
by: Sangsiri, Nawapon, et al.
Published: (2026)

On the Effects of Adversarial Perturbations on Distribution Robustness
by: Wang, Yipei, et al.
Published: (2026)

Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification
by: Li, Shuai, et al.
Published: (2024)

Visual Perturbation and Adaptive Hard Negative Contrastive Learning for Compositional Reasoning in Vision-Language Models
by: Huang, Xin, et al.
Published: (2025)

Dual Adversarial Perturbators Generate rich Views for Recommendation
by: Zhang, Lijun, et al.
Published: (2024)

Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations
by: Sun, Xiaolin, et al.
Published: (2024)

GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
by: Li, Zaitang, et al.
Published: (2023)

Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics
by: Li, Shuai, et al.
Published: (2024)

Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
by: Sun, Xiaolin, et al.
Published: (2025)

Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
by: Gao, Junqi, et al.
Published: (2024)

Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
by: Fang, Junyuan, et al.
Published: (2025)

A Neural Rejection System Against Universal Adversarial Perturbations in Radio Signal Classification
by: Zhang, Lu, et al.
Published: (2025)

Democratic Training Against Universal Adversarial Perturbations
by: Sun, Bing, et al.
Published: (2025)

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection
by: Guo, Chenyang, et al.
Published: (2024)

Optimal Perturbation Budget Allocation for Data Poisoning in Offline Reinforcement Learning
by: Qiu, Junnan, et al.
Published: (2025)

Low Rank Adaptation for Adversarial Perturbation
by: Liu, Han, et al.
Published: (2026)

CHIP: Adaptive Compliance for Humanoid Control through Hindsight Perturbation
by: Chen, Sirui, et al.
Published: (2025)

Perturbation Ontology based Graph Attention Networks
by: Wang, Yichen, et al.
Published: (2024)

APEX: Probing Neural Networks via Activation Perturbation
by: Ren, Tao, et al.
Published: (2026)

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations
by: Huang, Kaixuan, et al.
Published: (2025)

Sparse-PGD: A Unified Framework for Sparse Adversarial Perturbations Generation
by: Zhong, Xuyang, et al.
Published: (2024)

Temporally Unified Adversarial Perturbations for Time Series Forecasting
by: Su, Ruixian, et al.
Published: (2026)

Revealing the Potential of Learnable Perturbation Ensemble Forecast Model for Tropical Cyclone Prediction
by: Liu, Jun, et al.
Published: (2025)

Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition
by: Kong, Weizhe, et al.
Published: (2025)

Generating Universal Adversarial Perturbations for Quantum Classifiers
by: Anil, Gautham, et al.
Published: (2024)

Learning to Perturb Hidden Representations for Generalizable Deep Learning
by: Li, Hua
Published: (2026)

Taming the Long Tail: Rebalancing Adversarial Training via Adaptive Perturbation
by: Zhang, Lilin, et al.
Published: (2026)

Plausibility Is Not Prediction: Contrastive Evidence for LLM-Based Cellular Perturbation Reasoning
by: Yuan, Xinyu, et al.
Published: (2026)

Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals
by: Zheng, Rui, et al.
Published: (2024)