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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17,701 to 17,760 of 119,442

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
Hierarchy-based Image Embeddings for Semantic Image Retrieval
Björn Barz, Joachim Denzler
cs.CVcs.AIcs.IRarXiv:1809.09924v42018
No Perfect Randomized Composition
Alexander Meiburg
cs.CCmath.COarXiv:2610.31638v12026
RetGK: Graph Kernels based on Return Probabilities of Random Walks
Zhen Zhang, Mianzhi Wang, Yijian Xiang +2
stat.MLcs.LGarXiv:1809.02670v12018
ABRA: Agent-Bound UI for Human-Agent Communication beyond Chat with Reusable Views
Seon Gyeom Kim, Hannah Kim
cs.HCcs.MAarXiv:2610.30780v12026
DraMaze: A Multi-Agent Pipeline with Future-Aware Memory for Diverse Microdrama Script Generation
Siyang He, Qiqi Wang, Fan Liu +5
cs.CLarXiv:2610.32002v12026
MultiAgent-OPD: End-to-End Training of Hierarchical Multi-Agent Systems with On-Policy Distillation
Yuhan Sun, Jiaxin Zhao, Yongdong Luo +6
cs.CLarXiv:2610.23234v22026
Automated Test Generation for REST APIs: No Time to Rest Yet
Myeongsoo Kim, Qi Xin, Saurabh Sinha +1
cs.SEarXiv:2204.08348v32022
Learning from Others, Acting for You: Cross-User Memory Sharing for LLM Agents
Jinming Hu, Haodong Zhao, Qi Jia +4
cs.AIarXiv:2609.32511v12026
LoCA: Enabling Multi-Modality in Geospatial Location Encoders
Panagiotis Koromilas, Eleanna Vali, Diogenis Antonopoulos +7
cs.CVcs.LGarXiv:2610.32894v12026
Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks
Zhen Li, Yizhou Yu
q-bio.BMcs.AIcs.LGarXiv:1604.07176v12016
Does Distributionally Robust Supervised Learning Give Robust Classifiers?
Weihua Hu, Gang Niu, Issei Sato +1
stat.MLcs.LGarXiv:1611.02041v62016
Homomorphic Encryption with Coset Code Construction
Haodong Yang, Venkata Gandikota
cs.ITcs.CRmath.ITarXiv:2610.31437v12026
TreeRef-BFN: Equivariance-Free De Novo Molecule Generation based on 2D Topology and Internal 3D Geometry
Ruiqing Sun, Sen Yang, Dawei Feng +3
cs.AIcs.LGarXiv:2609.32502v12026
Revisiting separators in string graphs, region intersection graphs, and induced-minor-free graphs
James Davies, Paweł Rzążewski, Jack Spalding-Jamieson +1
math.COcs.CGcs.DMarXiv:2610.23792v12026
CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence
Siyu Ren, Yiming Zeng, Junhui Hou +1
cs.CVcs.MMarXiv:2207.05483v32022
Beyond Prompt or Skill? Attribution-Guided Optimization of Modular LLM Programs
Haoran Shou, Haoyue Liu, Yu Huo +2
cs.AIarXiv:2609.32492v12026
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection
Vibashan VS, Poojan Oza, Vishal M. Patel
cs.CVarXiv:2203.15793v42022

Every paper with a summary

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

Hierarchy-based Image Embeddings for Semantic Image Retrieval

No Perfect Randomized Composition

RetGK: Graph Kernels based on Return Probabilities of Random Walks

ABRA: Agent-Bound UI for Human-Agent Communication beyond Chat with Reusable Views

DraMaze: A Multi-Agent Pipeline with Future-Aware Memory for Diverse Microdrama Script Generation

MultiAgent-OPD: End-to-End Training of Hierarchical Multi-Agent Systems with On-Policy Distillation

Automated Test Generation for REST APIs: No Time to Rest Yet

Learning from Others, Acting for You: Cross-User Memory Sharing for LLM Agents

LoCA: Enabling Multi-Modality in Geospatial Location Encoders

Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks

Does Distributionally Robust Supervised Learning Give Robust Classifiers?

Homomorphic Encryption with Coset Code Construction

TreeRef-BFN: Equivariance-Free De Novo Molecule Generation based on 2D Topology and Internal 3D Geometry

Revisiting separators in string graphs, region intersection graphs, and induced-minor-free graphs

CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence

Beyond Prompt or Skill? Attribution-Guided Optimization of Modular LLM Programs

Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection