Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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17,761 to 17,820 of 119,519

Agent Skills Can Be Harmful: An Empirical Study of Skill-Induced Failures in LLM Agents
Gen Dong, Yanjie Gao, Liqun Li +3
cs.AIarXiv:2608.11888v12026
Text Segmentation by Cross Segment Attention
Michal Lukasik, Boris Dadachev, Gonçalo Simões +1
cs.CLarXiv:2004.14535v22020
Learning Fair Node Representations with Graph Counterfactual Fairness
Jing Ma, Ruocheng Guo, Mengting Wan +3
cs.LGcs.AIarXiv:2201.03662v12022
Scalable Attack on Graph Data by Injecting Vicious Nodes
Jihong Wang, Minnan Luo, Fnu Suya +3
cs.CRcs.LGarXiv:2004.13825v12020
A second-order linear decoupled scheme with a relaxed zero-energy variable for Rayleigh-B\'enard convection
Matthew McCurdy
physics.flu-dyncs.NAmath.NAarXiv:2610.31364v12026
Learned smoothing in operator-adapted multigrid: controlled accuracy gains and computational limits
Kumar Kaushik Ranjan
math.NAcs.NAarXiv:2610.30692v12026
LLMAdBench: A Human Preference Benchmark for Advertising in LLM Responses
Rui Ai, Yuqing Liu, Sitao Qiu +14
cs.AIarXiv:2609.32533v12026
Single Node Injection Attack against Graph Neural Networks
Shuchang Tao, Qi Cao, Huawei Shen +3
cs.LGcs.CRarXiv:2108.13049v22021
A framework for the extraction of Deep Neural Networks by leveraging public data
Soham Pal, Yash Gupta, Aditya Shukla +3
cs.LGcs.AIcs.CRarXiv:1905.09165v12019
Interpretable Physics Informed WiFi Indoor Localization: Learning an Effective Access Point Geometry and Using It to Prune
Arshia Eftekhari zadeh, Rezvan Nasiri, Hadi Moradi
cs.AIcs.LGarXiv:2609.32539v12026
MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
Hanqing Wang, Yixia Li, Shuo Wang +2
cs.CLarXiv:2406.09044v32024
Fairness-Aware Node Representation Learning
Öykü Deniz Köse, Yanning Shen
cs.LGarXiv:2106.05391v12021
DeBayes: a Bayesian Method for Debiasing Network Embeddings
Maarten Buyl, Tijl De Bie
cs.LGstat.MLarXiv:2002.11442v32020
Fail Loudly: An Auditable Runtime for Agentic Data Analysis
Hanxu Yan, Langxuan Deng, Zhengle Wang +2
cs.AIarXiv:2609.32528v12026
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy
Enyan Dai, Limeng Cui, Zhengyang Wang +5
cs.LGcs.AIcs.CRarXiv:2306.08604v12023
GraphMI: Extracting Private Graph Data from Graph Neural Networks
Zaixi Zhang, Qi Liu, Zhenya Huang +4
cs.LGcs.AIarXiv:2106.02820v12021
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
Yushun Dong, Song Wang, Jing Ma +2
cs.LGcs.CYarXiv:2211.14383v12022
Adversarial Attack on Hierarchical Graph Pooling Neural Networks
Haoteng Tang, Guixiang Ma, Yurong Chen +4
cs.LGcs.CRstat.MLarXiv:2005.11560v12020
Poisoning Attacks on Algorithmic Fairness
David Solans, Battista Biggio, Carlos Castillo
cs.LGcs.CRcs.CYarXiv:2004.07401v32020
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications
Bang Wu, Xiangwen Yang, Shirui Pan +1
cs.LGcs.CRarXiv:2110.08760v12021
Inference Attacks Against Graph Neural Networks
Zhikun Zhang, Min Chen, Michael Backes +2
cs.CRcs.LGstat.MLarXiv:2110.02631v12021
A Survey of Adversarial Learning on Graphs
Liang Chen, Jintang Li, Jiaying Peng +6
cs.LGcs.AIstat.MLarXiv:2003.05730v32020
Jointly Attacking Graph Neural Network and its Explanations
Wenqi Fan, Wei Jin, Xiaorui Liu +7
cs.LGcs.AIcs.CRarXiv:2108.03388v22021
Unbiased Graph Embedding with Biased Graph Observations
Nan Wang, Lu Lin, Jundong Li +1
cs.LGcs.AIarXiv:2110.13957v42021
Model Stealing Attacks Against Inductive Graph Neural Networks
Yun Shen, Xinlei He, Yufei Han +1
cs.CRcs.LGarXiv:2112.08331v12021
Are Vision-Language-Action Models Robust to One-Step Observation Perturbations?
Shojiro Yamabe, Jun Sakuma
cs.AIcs.LGcs.ROarXiv:2609.32550v12026
On U_c-admitting spaces and U_c-completions of T_0 spaces
Kangming Lu, Qingguo Li, Shengwen Wang +1
math.GNcs.LOarXiv:2610.30967v12026
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function
Binghui Wang, Tianxiang Zhou, Minhua Lin +5
cs.CRcs.LGarXiv:2009.00203v32020
FMP: Toward Fair Graph Message Passing against Topology Bias
Zhimeng Jiang, Xiaotian Han, Chao Fan +4
cs.LGarXiv:2202.04187v12022
Porimon: An LLM-Based Pok\'emon Battle Agent Enhanced by Long/Short-Term Knowledge Augmented Generation
Dongyin Zhuo, Fengjunjie Pan, Nenad Petrovic +1
cs.AIarXiv:2609.32544v22026
Extension of MDS Codes over Finite Fields
Puyin Wang, Jinquan Luo
cs.ITmath.ITarXiv:2610.31023v12026
Fooling thermal infrared pedestrian detectors in real world using small bulbs
Xiaopei Zhu, Xiao Li, Jianmin Li +2
cs.CVarXiv:2101.08154v22021
Munchausen Reinforcement Learning
Nino Vieillard, Olivier Pietquin, Matthieu Geist
cs.LGstat.MLarXiv:2007.14430v32020
Balanced Posted Prices in Stationary Two-Sided Markets
Ilan Reuven Cohen
cs.GTarXiv:2610.31153v12026
Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
Jacek Komorowski
cs.CVarXiv:2203.00972v22022
Context Attentive Document Ranking and Query Suggestion
Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang
cs.IRarXiv:1906.02329v12019
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization
Bang Wu, Xiangwen Yang, Shirui Pan +1
cs.LGcs.CRarXiv:2010.12751v22020
Fair Representation Learning for Heterogeneous Information Networks
Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya +3
cs.AIarXiv:2104.08769v12021
Towards Fair Graph Neural Networks via Graph Counterfactual
Zhimeng Guo, Jialiang Li, Teng Xiao +2
cs.LGarXiv:2307.04937v22023
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack
Jintang Li, Bingzhe Wu, Chengbin Hou +5
cs.LGcs.CRcs.IRarXiv:2202.07114v22022
Towards Measuring Membership Privacy
Yunhui Long, Vincent Bindschaedler, Carl A. Gunter
cs.CRarXiv:1712.09136v12017
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings
Asim Waheed, Vasisht Duddu, N. Asokan
cs.LGcs.CRarXiv:2304.08566v22023
Exacerbating Algorithmic Bias through Fairness Attacks
Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter +1
cs.LGcs.AIcs.CRarXiv:2012.08723v12020
Self-Supervised Graph Transformer on Large-Scale Molecular Data
Yu Rong, Yatao Bian, Tingyang Xu +4
q-bio.BMcs.LGarXiv:2007.02835v22020
Understanding Structural Vulnerability in Graph Convolutional Networks
Liang Chen, Jintang Li, Qibiao Peng +3
cs.LGcs.CRarXiv:2108.06280v22021
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks
Thorben Funke, Megha Khosla, Mandeep Rathee +1
cs.LGcs.AIarXiv:2105.08621v22021
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Yongqiang Chen, Han Yang, Yonggang Zhang +4
cs.LGcs.CRstat.MLarXiv:2202.08057v22022
Releasing Graph Neural Networks with Differential Privacy Guarantees
Iyiola E. Olatunji, Thorben Funke, Megha Khosla
cs.LGcs.CRarXiv:2109.08907v22021
Poisoning Attacks on Fair Machine Learning
Minh-Hao Van, Wei Du, Xintao Wu +1
cs.LGcs.AIcs.CRarXiv:2110.08932v12021
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features
Tianxiang Zhao, Enyan Dai, Kai Shu +1
cs.LGcs.CYarXiv:2104.14537v42021
Towards Self-Explainable Graph Neural Network
Enyan Dai, Suhang Wang
cs.LGarXiv:2108.12055v12021
Batch Virtual Adversarial Training for Graph Convolutional Networks
Zhijie Deng, Yinpeng Dong, Jun Zhu
cs.LGcs.AIstat.MLarXiv:1902.09192v22019
Unnoticeable Backdoor Attacks on Graph Neural Networks
Enyan Dai, Minhua Lin, Xiang Zhang +1
cs.CRcs.LGarXiv:2303.01263v12023
STR: Supervised Transcoder Replacement for Reducing Steering Side Effects
Haonan Yu, Junhao Liu, Zhenyu Yan +2
cs.AIcs.LGarXiv:2609.32519v12026
Learning to Deblur using Light Field Generated and Real Defocus Images
Lingyan Ruan, Bin Chen, Jizhou Li +1
eess.IVcs.CVarXiv:2204.00367v12022
LocalProp: Neuro-Localized Memory-Efficient Backpropagation
Diana-Nicoleta Grigore, Iuliana Georgescu, Radu Tudor Ionescu
cs.AIcs.CVcs.LGarXiv:2609.32517v12026
From Anomalies to Failures: Constructing Causal Error Graphs for Agentic Trace Diagnosis
Shu-Xun Yang, Yidong Wang, Zhuoer Feng +7
cs.AIarXiv:2609.32514v12026
SensitiveNets: Learning Agnostic Representations with Application to Face Images
Aythami Morales, Julian Fierrez, Ruben Vera-Rodriguez +1
cs.CVarXiv:1902.00334v32019
A Weakly Group Strategy-Proof and Pareto-Stable Matching Mechanism with Two-Sided Indifferences under Gross Substitutes
Yasushi Kawase, Ryosuke Sato
cs.GTecon.THarXiv:2610.30807v12026
AmbiModBench: Benchmarking Gene Perturbation Prediction Beyond Shared Responses
Sikai Huang, Zhiwen Yang, Kai Yu +2
cs.AIcs.LGq-bio.GNarXiv:2609.32527v12026

Every paper with a summary

Agent Skills Can Be Harmful: An Empirical Study of Skill-Induced Failures in LLM Agents

Text Segmentation by Cross Segment Attention

Learning Fair Node Representations with Graph Counterfactual Fairness

Scalable Attack on Graph Data by Injecting Vicious Nodes

A second-order linear decoupled scheme with a relaxed zero-energy variable for Rayleigh-B\'enard convection

Learned smoothing in operator-adapted multigrid: controlled accuracy gains and computational limits

LLMAdBench: A Human Preference Benchmark for Advertising in LLM Responses

Single Node Injection Attack against Graph Neural Networks

A framework for the extraction of Deep Neural Networks by leveraging public data

Interpretable Physics Informed WiFi Indoor Localization: Learning an Effective Access Point Geometry and Using It to Prune

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Fairness-Aware Node Representation Learning

DeBayes: a Bayesian Method for Debiasing Network Embeddings

Fail Loudly: An Auditable Runtime for Agentic Data Analysis

A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy

GraphMI: Extracting Private Graph Data from Graph Neural Networks

Interpreting Unfairness in Graph Neural Networks via Training Node Attribution

Adversarial Attack on Hierarchical Graph Pooling Neural Networks

Poisoning Attacks on Algorithmic Fairness

Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications

Inference Attacks Against Graph Neural Networks

A Survey of Adversarial Learning on Graphs

Jointly Attacking Graph Neural Network and its Explanations

Unbiased Graph Embedding with Biased Graph Observations

Model Stealing Attacks Against Inductive Graph Neural Networks

Are Vision-Language-Action Models Robust to One-Step Observation Perturbations?

On U_c-admitting spaces and U_c-completions of T_0 spaces

Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function

FMP: Toward Fair Graph Message Passing against Topology Bias

Porimon: An LLM-Based Pok\'emon Battle Agent Enhanced by Long/Short-Term Knowledge Augmented Generation

Extension of MDS Codes over Finite Fields

Fooling thermal infrared pedestrian detectors in real world using small bulbs

Munchausen Reinforcement Learning

Balanced Posted Prices in Stationary Two-Sided Markets

Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training

Context Attentive Document Ranking and Query Suggestion

Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization

Fair Representation Learning for Heterogeneous Information Networks

Towards Fair Graph Neural Networks via Graph Counterfactual

Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack

Towards Measuring Membership Privacy

GrOVe: Ownership Verification of Graph Neural Networks using Embeddings

Exacerbating Algorithmic Bias through Fairness Attacks

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Understanding Structural Vulnerability in Graph Convolutional Networks

Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks

Understanding and Improving Graph Injection Attack by Promoting Unnoticeability

Releasing Graph Neural Networks with Differential Privacy Guarantees

Poisoning Attacks on Fair Machine Learning

Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features

Towards Self-Explainable Graph Neural Network

Batch Virtual Adversarial Training for Graph Convolutional Networks

Unnoticeable Backdoor Attacks on Graph Neural Networks

STR: Supervised Transcoder Replacement for Reducing Steering Side Effects

Learning to Deblur using Light Field Generated and Real Defocus Images

LocalProp: Neuro-Localized Memory-Efficient Backpropagation

From Anomalies to Failures: Constructing Causal Error Graphs for Agentic Trace Diagnosis

SensitiveNets: Learning Agnostic Representations with Application to Face Images

A Weakly Group Strategy-Proof and Pareto-Stable Matching Mechanism with Two-Sided Indifferences under Gross Substitutes

AmbiModBench: Benchmarking Gene Perturbation Prediction Beyond Shared Responses