On the public citation graph
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning
0 signed · 116 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/smr.1871openalex-snapshot
Protecting Internet users from becoming victimized attackers of click‐fraud
inferredcites →https://doi.org/10.1007/978-1-4757-3157-6_2openalex-snapshot
Multi-Criteria Decision Making Methods
inferredcites →https://doi.org/10.1007/978-3-030-02671-4_16openalex-snapshot
A Review of Distributed Ledger Technologies
inferredcites →https://doi.org/10.1007/978-3-319-11212-1_24openalex-snapshot
Click Fraud Detection on the Advertiser Side
inferredcites →https://doi.org/10.1007/978-3-319-24315-3_11openalex-snapshot
Online Ad-fraud in Search Engine Advertising Campaigns
inferredcites →https://doi.org/10.1007/978-3-540-79228-4_1openalex-snapshot
Differential Privacy: A Survey of Results
inferredcites →https://doi.org/10.1007/978-3-642-13708-2_32openalex-snapshot
A Hybrid Method to Detect Deflation Fraud in Cost-Per-Action Online Advertising
inferredcites →https://doi.org/10.1007/978-3-642-17197-0_10openalex-snapshot
ISPs and Ad Networks Against Botnet Ad Fraud
inferredcites →https://doi.org/10.1007/978-981-10-2035-3openalex-snapshot
Proceedings of the First International Conference on Intelligent Computing and Communication
inferredcites →https://doi.org/10.1007/978-981-10-2035-3_23openalex-snapshot
Demalvertising: A Kernel Approach for Detecting Malwares in Advertising Networks
inferredcites →https://doi.org/10.1007/978-981-10-8360-0_23openalex-snapshot
Smart Mobile Bot Detection Through Behavioral Analysis
inferredcites →https://doi.org/10.1007/s10115-015-0827-6openalex-snapshot
Learning from automatically labeled data: case study on click fraud prediction
inferredcites →https://doi.org/10.1007/s10462-022-10283-5openalex-snapshot
A Survey on ensemble learning under the era of deep learning
inferredcites →https://doi.org/10.1007/s12525-020-00441-4openalex-snapshot
Trustworthy artificial intelligence
inferredcites →https://doi.org/10.1016/j.comcom.2016.12.016openalex-snapshot
Online advertising: Analysis of privacy threats and protection approaches
inferredcites →https://doi.org/10.1016/j.ejor.2004.04.028openalex-snapshot
Analytic hierarchy process: An overview of applications
inferredcites →https://doi.org/10.1016/j.leaqua.2022.101673openalex-snapshot
Instrumental variables estimation: Assumptions, pitfalls, and guidelines
inferredcites →https://doi.org/10.1016/j.sbspro.2015.06.405openalex-snapshot
Privacy Preserving Secure Online Advertising
inferredcites →https://doi.org/10.1016/s1389-1286(99)00023-7openalex-snapshot
On the security of pay-per-click and other Web advertising schemes
inferredcites →https://doi.org/10.1038/s41598-016-0011-6openalex-snapshot
Mitigating Herding in Hierarchical Crowdsourcing Networks
inferredcites →https://doi.org/10.1038/s43017-023-00431-yopenalex-snapshot
Causal inference for time series
inferredcites →https://doi.org/10.1080/01621459.2023.2293811openalex-snapshot
Handbook of Matching and Weighting Adjustments for Causal Inference
inferredcites →https://doi.org/10.1080/15567280601015598openalex-snapshot
Badvertisements: Stealthy Click-Fraud with Unwitting Accessories
inferredcites →https://doi.org/10.1108/ijcs-01-2017-0004openalex-snapshot
Crowd science and engineering: concept and research framework
inferredcites →https://doi.org/10.1109/acsac.2009.41openalex-snapshot
Analyzing and Detecting Malicious Flash Advertisements
inferredcites →https://doi.org/10.1109/comst.2021.3118271openalex-snapshot
Online Advertising Security: Issues, Taxonomy, and Future Directions
inferredcites →https://doi.org/10.1109/icc.2017.7996807openalex-snapshot
A game theoretic approach for inspecting web-based malvertising
inferredcites →https://doi.org/10.1109/icc40277.2020.9149420openalex-snapshot
ClickGuard: Exposing Hidden Click Fraud via Mobile Sensor Side-channel Analysis
inferredcites →https://doi.org/10.1109/icme57554.2024.10687797openalex-snapshot
Agent-Oriented Joint Decision Support for Data Owners in Auction-Based Federated Learning
inferredcites →https://doi.org/10.1109/infcom.1999.751458openalex-snapshot
Transport layer security: how much does it really cost?
inferredcites →https://doi.org/10.1109/jiot.2024.3397893openalex-snapshot
Efficient Large-Scale Personalizable Bidding for Multiagent Auction-Based Federated Learning
inferredcites →https://doi.org/10.1109/mcc.2017.3791019openalex-snapshot
Blockchain Standards for Compliance and Trust
inferredcites →https://doi.org/10.1109/sfcs.1986.47openalex-snapshot
Proofs that yield nothing but their validity and a methodology of cryptographic protocol design
inferredcites →https://doi.org/10.1109/tcsvt.2021.3116976openalex-snapshot
Byzantine-Resilient Decentralized Stochastic Gradient Descent
inferredcites →https://doi.org/10.1109/tdsc.2018.2866821openalex-snapshot
A Bayesian Game Theoretic Approach for Inspecting Web-Based Malvertising
inferredcites →https://doi.org/10.1109/tgcn.2022.3158004openalex-snapshot
Intelligent Edge-Enabled Efficient Multi-Source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things
inferredcites →https://doi.org/10.1109/tmc.2020.2966991openalex-snapshot
AdSherlock: Efficient and Deployable Click Fraud Detection for Mobile Applications
inferredcites →https://doi.org/10.1109/trustcom.2015.539openalex-snapshot
Automated Collection and Analysis of Malware Disseminated via Online Advertising
inferredcites →https://doi.org/10.1109/wgec.2008.45openalex-snapshot
A Personalized Recommendation System Based on Multi-agent
inferredcites →https://doi.org/10.1145/1941530.1941540openalex-snapshot
The impact of TLS on SIP server performance
inferredcites →https://doi.org/10.1145/2046614.2046618openalex-snapshot
A survey of mobile malware in the wild
inferredcites →https://doi.org/10.1145/2068816.2068843openalex-snapshot
Understanding fraudulent activities in online ad exchanges
inferredcites →https://doi.org/10.1145/2185448.2185464openalex-snapshot
Unsafe exposure analysis of mobile in-app advertisements
inferredcites →https://doi.org/10.1145/2187836.2187926openalex-snapshot
Practical end-to-end web content integrity
inferredcites →https://doi.org/10.1145/2342356.2342394openalex-snapshot
Measuring and fingerprinting click-spam in ad networks
inferredcites →https://doi.org/10.1145/2377677.2377715openalex-snapshot
Measuring and fingerprinting click-spam in ad networks
inferredcites →https://doi.org/10.1145/2381966.2381968openalex-snapshot
An approach for identifying JavaScript-loaded advertisements through static program analysis
inferredcites →https://doi.org/10.1145/2556195.2556214openalex-snapshot
Search engine click spam detection based on bipartite graph propagation
inferredcites →https://doi.org/10.1145/2660267.2660305openalex-snapshot
Private-by-Design Advertising Meets the Real World
inferredcites →https://doi.org/10.1145/2660267.2660369openalex-snapshot
Characterizing Large-Scale Click Fraud in ZeroAccess
inferredcites →https://doi.org/10.1145/2660460.2660475openalex-snapshot
Measurement and analysis of OSN ad auctions
inferredcites →https://doi.org/10.1145/2736277.2741136openalex-snapshot
Crowd Fraud Detection in Internet Advertising
inferredcites →https://doi.org/10.1145/28395.28419openalex-snapshot
Zero knowledge proofs of identity
inferredcites →https://doi.org/10.1145/3005745.3005752openalex-snapshot
Independent Auditing of Online Display Advertising Campaigns
inferredcites →https://doi.org/10.1145/3214303openalex-snapshot
A Survey on Homomorphic Encryption Schemes
inferredcites →https://doi.org/10.1145/3287560.3287601openalex-snapshot
Controlling Polarization in Personalization
inferredcites →https://doi.org/10.1145/3306618.3314248openalex-snapshot
How Do Fairness Definitions Fare?
inferredcites →https://doi.org/10.1145/3335741.3335759openalex-snapshot
On the foundations of cryptography
inferredcites →https://doi.org/10.1145/3351095.3372848openalex-snapshot
Multi-category fairness in sponsored search auctions
inferredcites →https://doi.org/10.1145/3351095.3375783openalex-snapshot
Bidding strategies with gender nondiscrimination constraints for online ad auctions
inferredcites →https://doi.org/10.1145/3439729openalex-snapshot
A Survey on Adversarial Recommender Systems
inferredcites →https://doi.org/10.1145/3457607openalex-snapshot
A Survey on Bias and Fairness in Machine Learning
inferredcites →https://doi.org/10.1145/3459637.3482373openalex-snapshot
Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising
inferredcites →https://doi.org/10.1145/3485447.3512253openalex-snapshot
Regulating Online Political Advertising
inferredcites →https://doi.org/10.1287/mnsc.1100.1246openalex-snapshot
Privacy Regulation and Online Advertising
inferredcites →https://doi.org/10.1287/mnsc.2018.3093openalex-snapshot
Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads
inferredcites →https://doi.org/10.14722/ndss.2016.23353openalex-snapshot
The Price of Free: Privacy Leakage in Personalized Mobile In-App Ads
inferredcites →https://doi.org/10.14722/ndss.2018.23331openalex-snapshot
Measuring and Disrupting Anti-Adblockers Using Differential Execution Analysis
inferredcites →https://doi.org/10.1504/ijwgs.2018.095647openalex-snapshot
Blockchain challenges and opportunities: a survey
inferredcites →https://doi.org/10.1561/1500000049openalex-snapshot
Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting
inferredcites →https://doi.org/10.1561/9781680833119openalex-snapshot
Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting
inferredcites →https://doi.org/10.1609/aaai.v37i13.26795openalex-snapshot
Customer Service Combining Human Operators and Virtual Agents: A Call for Multidisciplinary AI Research
inferredcites →https://doi.org/10.24963/ijcai.2023/474openalex-snapshot
Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning
inferredcites →https://doi.org/10.24963/ijcai.2024/551openalex-snapshot
Dual Calibration-based Personalised Federated Learning
inferredcites →https://doi.org/10.24963/ijcai.2024/552openalex-snapshot
A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning
inferredcites →https://doi.org/10.24963/ijcai.2024/912openalex-snapshot
Intelligent Agents for Auction-based Federated Learning: A Survey
inferredcites →https://doi.org/10.24963/ijcai.2024/972openalex-snapshot
Stakeholder-oriented Decision Support for Auction-based Federated Learning
inferredcites →https://doi.org/10.26599/ijcs.2022.9100034openalex-snapshot
EID: Facilitating Explainable AI Design Discussions in Team-Based Settings
inferredcites →https://doi.org/10.48550/arxiv.1408.6491openalex-snapshot
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination
inferredcites →https://doi.org/10.48550/arxiv.2006.13114openalex-snapshot
Fairness without Demographics through Adversarially Reweighted Learning
inferredcites →https://doi.org/10.48550/arxiv.2010.06398openalex-snapshot
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning
inferredcites →https://doi.org/10.48550/arxiv.2106.03215openalex-snapshot
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
inferredcites →https://doi.org/10.48550/arxiv.2311.08152openalex-snapshot
Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration
inferredcites →https://doi.org/10.5040/9781782258674.0010openalex-snapshot
Regulation (EU) 2015/848 of the European Parliament and of the Council
inferredcites →https://doi.org/10.5555/2627435.2627438openalex-snapshot
Detecting click fraud in online advertising
inferredcites →https://doi.org/10.58496/mjbd/2023/009openalex-snapshot
Analysing the Connection Between AI and Industry 4.0 from a Cybersecurity Perspective: Defending the Smart Revolution
inferredcites →https://doi.org/10.9785/cri-2019-200402openalex-snapshot
The EU Approach to Ethics Guidelines for Trustworthy Artificial Intelligence
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/widm.70128openalex-snapshot
A Comprehensive Review on Federated and Incremental Learning in Spatial Crowdsourcing Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-94187-0_28openalex-snapshot
Research Progress and Trends in AI e-commerce: Visualization Analysis Based on CiteSpace
inferred← citeshttps://doi.org/10.1007/s42452-025-07423-1openalex-snapshot
Virtual Touchability: the impact of wearable sensors in Metaverse naturalization
inferred← citeshttps://doi.org/10.1007/s44443-025-00268-zopenalex-snapshot
NCAM-CS: neural combinatorial auction mechanisms with item complementarity and substitutability
inferred← citeshttps://doi.org/10.1080/10528008.2026.2664121openalex-snapshot
Integrating algorithmic competencies into marketing education
inferred← citeshttps://doi.org/10.1109/access.2025.3590438openalex-snapshot
Multi-Dimensional Arms for Combinatorial Multi-Armed Bandit
inferred← citeshttps://doi.org/10.1109/iccc65529.2025.11148820openalex-snapshot
One-Class Classification for Mobile Ad Fraud Detection with Contrastive Learning
inferred← citeshttps://doi.org/10.1109/jiot.2024.3504548openalex-snapshot
Fairness-Aware Reverse Auction-Based Federated Learning
inferred← citeshttps://doi.org/10.1109/tkde.2025.3555328openalex-snapshot
Ten Challenging Problems in Federated Foundation Models
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3474102openalex-snapshot
A Cost-Aware Utility-Maximizing Bidding Strategy for Auction-Based Federated Learning
inferred← citeshttps://doi.org/10.1145/3770855.3817888openalex-snapshot
A Black Box Optimization-based Bidding Strategy for Data Consumers in Auction-based Federated Learning
inferred← citeshttps://doi.org/10.1145/3770855.3818315openalex-snapshot
AdPilot: Towards Fully Autonomous Advertising Delivery via Agentic Reinforcement Learning
inferred← citeshttps://doi.org/10.1145/3774904.3792800openalex-snapshot
AliBoostV2: CTR-Growth Balanced Boosting Framework in Billion-Scale Recommendation Platform
inferred← citeshttps://doi.org/10.1145/3774905.3794671openalex-snapshot
Fine-Grained Visual Understanding for Multimodal and Trustworthy AI
inferred← citeshttps://doi.org/10.1145/3786174.3788351openalex-snapshot
A Gray Literature Study on Fairness Requirements in AI-enabled Software Engineering
inferred← citeshttps://doi.org/10.1177/21582440261417793openalex-snapshot
Consumer Responses to AI Disclosure Labels: The Role of Novelty and Authenticity
inferred← citeshttps://doi.org/10.1609/aaai.v39i19.34296openalex-snapshot
Reputation-aware Revenue Allocation for Auction-based Federated Learning
inferred← citeshttps://doi.org/10.28925/2663-4023.2025.28.794openalex-snapshot
USING MACHINE LEARNING IN REAL-TIME BIDDING
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.