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Functionality-preserving Black-box Optimization of Adversarial Windows Malware

IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2020

30 March 2020

Battista Biggio

Fabio Roli

Papers citing "Functionality-preserving Black-box Optimization of Adversarial Windows Malware"

50 / 56 papers shown

One Detector Fits All: Robust and Adaptive Detection of Malicious Packages from PyPI to Enterprises

134

03 Dec 2025

Efficient Adversarial Malware Defense via Trust-Based Raw Override and Confidence-Adaptive Bit-Depth Reduction

Ayush Chaudhary

Sisir Doppalpudi

AAML

193

16 Nov 2025

Demystifying the Role of Rule-based Detection in AI Systems for Windows Malware Detection

190

13 Aug 2025

Certifiably robust malware detectors by designIFIP International Information Security Conference (IFIP SEC), 2025

Pierre-Francois Gimenez

S. Sivaprasad

Mario Fritz

AAML

172

10 Aug 2025

Empirical Quantification of Spurious Correlations in Malware Detection

309

11 Jun 2025

On the Security Risks of ML-based Malware Detection Systems: A Survey

451

16 May 2025

SLIFER: Investigating Performance and Robustness of Malware Detection PipelinesComputers & security (Comput. Secur.), 2024

Battista Biggio

Fabio Roli

301

23 May 2024

A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection

Fabio Roli

347

23 May 2024

Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmplesComputers & security (Comput. Secur.), 2024

394

04 May 2024

Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing

Battista Biggio

298

01 May 2024

Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research

Daniel Gibert

AAML

209

29 Apr 2024

Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy SearchIEEE Transactions on Signal Processing (IEEE TSP), 2024

Yunchuan Zhang

Sangwoo Park

Osvaldo Simeone

587

14 Mar 2024

Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File

226

11 Mar 2024

How to Train your Antivirus: RL-based Hardening through the Problem-Space

272

29 Feb 2024

A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing

269

23 Feb 2024

Large Language Models are Few-shot Generators: Proposing Hybrid Prompt Algorithm To Generate Webshell Escape Samples

276

12 Feb 2024

Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach

Brian Etter

Junjie Hu

Mohammedreza Ebrahimi

Weifeng Li

Xin Li

Hsinchun Chen

287

04 Feb 2024

A Malware Classification Survey on Adversarial Attacks and Defences

Mahesh Ponnuru

Likhitha Amasala

Tanu Sree Bhimavarapu

Guna Chaitanya Garikipati

AAML

171

15 Dec 2023

Burning the Adversarial Bridges: Robust Windows Malware Detection Against Binary-level Mutations

304

05 Oct 2023

Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors

Maura Pintor

Battista Biggio

264

04 Oct 2023

The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement LearningEuropean Symposium on Research in Computer Security (ESORICS), 2023

M. Rigaki

Sebastian Garcia

AAML

197

31 Aug 2023

A Comparison of Adversarial Learning Techniques for Malware DetectionJournal of Computer Virology and Hacking Techniques (JCVHT), 2023

258

19 Aug 2023

Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing

174

17 Aug 2023

ATWM: Defense against adversarial malware based on adversarial training

241

11 Jul 2023

Creating Valid Adversarial Examples of MalwareJournal of Computer Virology and Hacking Techniques (JCVHT), 2023

215

23 Jun 2023

Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks

210

16 Jun 2023

Combining Generators of Adversarial Malware Examples to Increase Evasion RateInternational Conference on Security and Cryptography (SECRYPT), 2023

M. Kozák

M. Jureček

AAML

173

14 Apr 2023

DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified RobustnessInternational Conference on Learning Representations (ICLR), 2023

209

20 Mar 2023

PAD: Towards Principled Adversarial Malware Detection Against Evasion AttacksIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023

467

22 Feb 2023

Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware DetectionIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023

Aqib Rashid

Jose Such

AAML

201

01 Feb 2023

RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized DeletionNeural Information Processing Systems (NeurIPS), 2023

Benjamin I. P. Rubinstein

AAML

488

31 Jan 2023

Feature-Space Bayesian Adversarial Learning Improved Malware Detector RobustnessAAAI Conference on Artificial Intelligence (AAAI), 2023

267

30 Jan 2023

Efficient Malware Analysis Using Metric Embeddings

282

05 Dec 2022

Multi-view Representation Learning from Malware to Defend Against Adversarial Variants

Junjie Hu

Mohammadreza Ebrahimi

167

25 Oct 2022

The Space of Adversarial Strategies

Ryan Sheatsley

Blaine Hoak

Eric Pauley

Patrick McDaniel

AAML

292

09 Sep 2022

Instance Attack:An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware DetectionPeerJ Computer Science (PeerJ CS), 2022

340

06 Sep 2022

Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and Behavioral Malware Representations

Dmitrijs Trizna

158

20 Aug 2022

Practical Attacks on Machine Learning: A Case Study on Adversarial Windows MalwareIEEE Security and Privacy (IEEE S&P), 2022

Christian Scano

Battista Biggio

Fabio Roli

AAML

187

12 Jul 2022

Fusing Feature Engineering and Deep Learning: A Case Study for Malware ClassificationExpert systems with applications (ESWA), 2022

257

12 Jun 2022

Stealing and Evading Malware Classifiers and Antivirus at Low False Positive ConditionsComputers & security (Comput. Secur.), 2022

M. Rigaki

Sebastian Garcia

AAML

341

13 Apr 2022

MERLIN -- Malware Evasion with Reinforcement LearnINg

378

24 Mar 2022

StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware DetectionComputers & security (Comput. Secur.), 2022

Aqib Rashid

Jose Such

AAML

600

15 Feb 2022

Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-ArtComputers & security (CS), 2021

...

653

106

23 Dec 2021

Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach

Junjie Hu

Mohammadreza Ebrahimi

Hsinchun Chen

AAML

194

03 Dec 2021

MALIGN: Explainable Static Raw-byte Based Malware Family Classification using Sequence AlignmentComputers & security (CS), 2021

Shoumik Saha

Sadia Afroz

A. Rahman

455

28 Nov 2021

Statically Detecting Adversarial Malware through Randomised ChainingAustralasian Computer Science Week (ACSW), 2021

174

28 Nov 2021

Dissecting Malware in the WildAustralasian Computer Science Week (ACSW), 2021

180

28 Nov 2021

A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries

P. Dasgupta

Zachary Osman

AAML

160

22 Nov 2021

Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors

Shuo Wang

Haojin Zhu

S. Çamtepe

Surya Nepal

AAML

327

19 Nov 2021

EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection

Hamid Bostani

Veelasha Moonsamy

AAML

520

07 Oct 2021