activity
20042023
most cited(Un)informed Consent: Studying GDPR Consent Notices in the Field

356 citations · 956 across the 32 of their papers we have counts for

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Showing 2020Show all

14 papers · 1 filter

cs.SD2020★ 3 cited

VenoMave: Targeted Poisoning Against Speech Recognition

Hojjat Aghakhani, Lea Schönherr, Thorsten Eisenhofer +4

Despite remarkable improvements, automatic speech recognition is susceptible to adversarial perturbations. Compared to standard machine learning architectures, these attacks are si…

cs.CR2020★ 16 cited

Unacceptable, where is my privacy? Exploring Accidental Triggers of Smart Speakers

Lea Schönherr, Maximilian Golla, Thorsten Eisenhofer +3

Voice assistants like Amazon's Alexa, Google's Assistant, or Apple's Siri, have become the primary (voice) interface in smart speakers that can be found in millions of households.…

cs.CR2020

VPS: Excavating High-Level C++ Constructs from Low-Level Binaries to Protect Dynamic Dispatching

Andre Pawlowski, Victor van der Veen, Dennis Andriesse +4

Polymorphism and inheritance make C++ suitable for writing complex software, but significantly increase the attack surface because the implementation relies on virtual function tab…

cs.CR2020

Automated Multi-Architectural Discovery of CFI-Resistant Code Gadgets

Patrick Wollgast, Robert Gawlik, Behrad Garmany +2

Memory corruption vulnerabilities are still a severe threat for software systems. To thwart the exploitation of such vulnerabilities, many different kinds of defenses have been pro…

cs.CR2020

Detile: Fine-Grained Information Leak Detection in Script Engines

Robert Gawlik, Philipp Koppe, Benjamin Kollenda +3

Memory disclosure attacks play an important role in the exploitation of memory corruption vulnerabilities. By analyzing recent research, we observe that bypasses of defensive solut…

cs.CR2020

An Exploratory Analysis of Microcode as a Building Block for System Defenses

Benjamin Kollenda, Philipp Koppe, Marc Fyrbiak +3

Microcode is an abstraction layer used by modern x86 processors that interprets user-visible CISC instructions to hardware-internal RISC instructions. The capability to update x86…

cs.CR2020

Breaking and Fixing Destructive Code Read Defenses

Jannik Pewny, Philipp Koppe, Lucas Davi +1

Just-in-time return-oriented programming (JIT-ROP) is a powerful memory corruption attack that bypasses various forms of code randomization. Execute-only memory (XOM) can potential…

cs.CR2020

EvilCoder: Automated Bug Insertion

Jannik Pewny, Thorsten Holz

The art of finding software vulnerabilities has been covered extensively in the literature and there is a huge body of work on this topic. In contrast, the intentional insertion of…

cs.CR2020

Static Detection of Uninitialized Stack Variables in Binary Code

Behrad Garmany, Martin Stoffel, Robert Gawlik +1

More than two decades after the first stack smashing attacks, memory corruption vulnerabilities utilizing stack anomalies are still prevalent and play an important role in practice…

cs.CR2020

Steroids for DOPed Applications: A Compiler for Automated Data-Oriented Programming

Jannik Pewny, Philipp Koppe, Thorsten Holz

The wide-spread adoption of system defenses such as the randomization of code, stack, and heap raises the bar for code-reuse attacks. Thus, attackers utilize a scripting engine in…

cs.CR2020

Challenges in Designing Exploit Mitigations for Deeply Embedded Systems

Ali Abbasi, Jos Wetzels, Thorsten Holz +1

Memory corruption vulnerabilities have been around for decades and rank among the most prevalent vulnerabilities in embedded systems. Yet this constrained environment poses unique…

cs.CR2020

CORSICA: Cross-Origin Web Service Identification

Christian Dresen, Fabian Ising, Damian Poddebniak +3

Vulnerabilities in private networks are difficult to detect for attackers outside of the network. While there are known methods for port scanning internal hosts that work by luring…

cs.CV2020★ 208 cited

Leveraging Frequency Analysis for Deep Fake Image Recognition

Joel Frank, Thorsten Eisenhofer, Lea Schönherr +3

Deep neural networks can generate images that are astonishingly realistic, so much so that it is often hard for humans to distinguish them from actual photos. These achievements ha…

cs.CR2020★ 44 cited

Beyond the Front Page: Measuring Third Party Dynamics in the Field

Tobias Urban, Martin Degeling, Thorsten Holz +1

In the modern Web, service providers often rely heavily on third parties to run their services. For example, they make use of ad networks to finance their services, externally host…