Lorenzo Cavallaro | DeepAI

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∙ 09/20/2023

Locate and Verify: A Two-Stream Network for Improved Deepfake Detection

Deepfake has taken the world by storm, triggering a trust crisis. Curren...

0 Chao Shuai, et al. ∙

∙ 09/18/2023

DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues

The malicious use and widespread dissemination of deepfake pose a signif...

0 Kun Pan, et al. ∙

∙ 08/07/2023

Symmetry-Preserving Program Representations for Learning Code Semantics

Large Language Models (LLMs) have shown promise in automated program rea...

0 Kexin Pei, et al. ∙

∙ 06/21/2023

Do you still need a manual smart contract audit?

We investigate the feasibility of employing large language models (LLMs)...

0 Isaac David, et al. ∙

∙ 06/15/2022

Designing a Provenance Analysis for SGX Enclaves

Intel SGX enables memory isolation and static integrity verification of ...

0 Flavio Toffalini, et al. ∙

∙ 02/12/2021

Universal Adversarial Perturbations for Malware

Machine learning classification models are vulnerable to adversarial exa...

0 Raphael Labaca-Castro, et al. ∙

∙ 01/15/2021

Identifying Authorship Style in Malicious Binaries: Techniques, Challenges Datasets

Attributing a piece of malware to its creator typically requires threat ...

0 Jason Gray, et al. ∙

∙ 12/16/2020

Intertwining ROP Gadgets and Opaque Predicates for Robust Obfuscation

Software obfuscation plays a crucial role in protecting intellectual pro...

0 Fukutomo Nakanishi, et al. ∙

∙ 10/19/2020

Dos and Don'ts of Machine Learning in Computer Security

With the growing processing power of computing systems and the increasin...

0 Daniel Arp, et al. ∙

∙ 10/08/2020

Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation

Machine learning for malware classification shows encouraging results, b...

0 Federico Barbero, et al. ∙

∙ 12/05/2019

Catch Me (On Time) If You Can: Understanding the Effectiveness of Twitter URL Blacklists

With more than 500 million daily tweets from over 330 million active use...

0 Simon Bell, et al. ∙

∙ 11/05/2019

Intriguing Properties of Adversarial ML Attacks in the Problem Space

Recent research efforts on adversarial ML have investigated problem-spac...

0 Fabio Pierazzi, et al. ∙

∙ 07/20/2018

TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time

Academic research on machine learning-based malware classification appea...

0 Feargus Pendlebury, et al. ∙

∙ 09/17/2017

BabelView: Evaluating the Impact of Code Injection Attacks in Mobile Webviews

A Webview embeds a full-fledged browser in a mobile application and allo...

0 Claudio Rizzo, et al. ∙

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